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COMPETITOR REPLACEMENT MATRIX

Best Z.ai: GLM 4.6 Alternatives & Competitors in 2026

Side-by-side FinOps audit of the top 474 direct replacements for Z.ai: GLM 4.6. Evaluate switching savings and hidden-fee benchmarks.

#1 Featured Z.ai: GLM 4.6 Alternative (Sponsored Slot)
Outbid or Lock this Category Pin ($500 - $1,500/mo) →

☀️Switch from Z.ai: GLM 4.6 to OpenAI GPT-6.1 Sol

OpenAI October 2026 flagship reasoning & coding model delivering near-Astra intelligence at 1/5th the cost. Verified P90 latency of 270ms.

✓ API ID: gpt-6.1-sol✓ 1M+ Context Window✓ 272K Context Cliff ($4/$15 >272K)✓ 75% Prompt Cache Discount

All Verified Z.ai: GLM 4.6 Competitors (474)

☀️

#1. OpenAI GPT-6.1 Sol

P90: 270ms

OpenAI October 2026 flagship reasoning & coding model delivering near-Astra intelligence at 1/5th the cost.

Audit: Context Cliff Alert: Prompts exceeding 272K tokens double in price from $2/$10 to $4/$15 per 1M tokens.

🌌

#2. OpenAI GPT-6 Astra

P90: 420ms

OpenAI most powerful computer-use and autonomous multi-agent flagship model built for zero-failure enterprise tasks.

Audit: Billed at $10/$50 (<272K) and jumps to $20/$75 (>272K). Reserve strictly for hard computer-use orchestration.

🌙

#3. OpenAI GPT-6 Luna

P90: 145ms

OpenAI ultra-affordable reasoning and logic model with 1M+ token context window for high-volume production pipelines.

Audit: Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.

🧠

#4. Anthropic Claude Opus 5.5

P90: 350ms

Ranked #1 on Artificial Analysis Intelligence Index (Score 58). Cuts Opus 5 pricing by 20% and features 0.05x ($0.20/1M) cache reads.

Audit: Adaptive thinking is always on; high effort generates ~119K thinking tokens/task. Fast mode costs $8/$40; inference_geo:"us" adds +10%.

📜

#5. Anthropic Claude Fable 5.1

P90: 490ms

Anthropic specialized frontier model for demanding scientific reasoning, OfficeQA leadership, and long-horizon agentic work.

Audit: Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.

🎼

#6. Anthropic Claude Sonnet 5.5

P90: 230ms

Released Sept 28, 2026 at half of Opus 5.5 price with 0.05x ($0.10/1M) cache reads for high-speed SWE agents.

Audit: Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.

🍃

#7. Anthropic Claude Haiku 5.5

P90: 120ms

Ultra-fast classification, extraction, and routing model with $0.01/1M cache reads under 100K prompt tokens.

Audit: Severe Context Cliff: Prompts over 100,000 tokens jump 500% from $0.10/$0.50 to $0.50/$2.50 per 1M tokens!

💎

#8. Google Gemini 4 Argon

P90: 260ms

Google DeepMind Oct 2026 frontier release featuring a 1,000,000 (1M) output token limit, 95% cache discount ($0.10/1M), and #1 Vals Index & DeepSWE (77.9%).

Audit: Introductory $2/$10 API rate is locked until Nov 30, 2026, after which standard uncached rates rise to $4/$20.

⚡

#9. Google Gemini 3.8 Flash

P90: 135ms

High-frequency multimodal, TTS, and live streaming model optimized for low-latency production workloads.

Audit: Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.

🐋

#10. DeepSeek-V4 Pro

P90: 460ms

1.6-Trillion parameter (49B active) MoE architecture with Fine-Grained Sparse Attention and $0.07/1M disk KV cache hits.

Audit: Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.

🐬

#11. DeepSeek-V4 Flash

P90: 240ms

284B parameter (13B active) high-speed sparse-attention model with thinking integrated directly into tool calls.

Audit: Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.

🌍

#12. OpenAI GPT-5.6 Terra

P90: 290ms

Balanced enterprise general-purpose model in the GPT-5.6 family with 1M context window.

Audit: Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.

🛡️

#13. OpenAI GPT-5.6 Cyber

P90: 410ms

Specialized offensive/defensive cybersecurity and zero-day vulnerability auditing model.

Audit: Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.

🟢

#14. OpenAI GPT-5.5

P90: 320ms

Flagship GPT-5 series general model with configurable reasoning_effort from none to xhigh.

Audit: Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.

🔹

#15. OpenAI GPT-5.4 nano

P90: 110ms

Ultra-fast classification, tagging, and high-volume FAQ model replacing legacy GPT-4o mini.

Audit: Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.

💻

#16. OpenAI GPT-5.3-Codex

P90: 250ms

Dedicated agentic software engineering model tuned for multi-hour terminal and IDE sessions.

Audit: Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.

✖️

#17. xAI Grok 4.3

P90: 180ms

xAI October 2026 frontier reasoning model with live X/Web grounding and sub-200ms latency.

Audit: Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.

🦙

#18. Meta Llama 4 Scout

P90: 140ms

Meta open-weight multimodal MoE model supporting 10M+ extended context on dedicated clusters.

Audit: Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.

🔬

#19. DeepSeek-R1 (Reasoner)

P90: 540ms

Open-weight reinforcement-learning reasoning model for formal math, finance, and theorem synthesis.

Audit: Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.

🛣️

#20. OpenRouter Unified Gateway

P90: 260ms

Single API routing across 400+ live models (GPT-6.1 Sol, Opus 5.5, Gemini 4 Argon) with automatic price arbitrage.

Audit: Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.

🛰️

#21. Pareto Latest

P90: 280ms

This model always redirects to the latest model in the Pareto family.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#22. Pareto 26.9

P90: 280ms

Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#23. LiquidAI: LFM2.5-24B-A2B

P90: 280ms

LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that ca

Audit: Auto-discovered via live global telemetry registry.

🛰️

#24. Google: Gemini 4 Argon

P90: 280ms

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Goo

Audit: Auto-discovered via live global telemetry registry.

🛰️

#25. Google: Gemini 4 Argon (batch)

P90: 280ms

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Goo

Audit: Auto-discovered via live global telemetry registry.

🛰️

#26. ScaleDown: Summarize

P90: 280ms

Summarize is an abstractive summarization model from ScaleDown. It condenses long text and documents into a fluent, faithful rewrite rather than lifting sentences from the source,

Audit: Auto-discovered via live global telemetry registry.

🛰️

#27. ScaleDown: Extract

P90: 280ms

Extract is a description-driven entity extraction model from ScaleDown. Instead of a fixed set of entity types, callers describe the fields they want in plain English through `prov

Audit: Auto-discovered via live global telemetry registry.

🛰️

#28. Meta: Muse Wonder

P90: 280ms

Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and retu

Audit: Auto-discovered via live global telemetry registry.

🛰️

#29. StepFun: Step 5 Preview

P90: 280ms

Step 5 Preview is StepFun's flagship model for agentic work, built on a sparse Mixture-of-Experts architecture (27B active / 600B total parameters). It performs strongly in softwar

Audit: Auto-discovered via live global telemetry registry.

🛰️

#30. Anthropic: Claude Haiku 5.5

P90: 280ms

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger

Audit: Auto-discovered via live global telemetry registry.

🛰️

#31. Anthropic: Claude Haiku 5.5 (batch)

P90: 280ms

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger

Audit: Auto-discovered via live global telemetry registry.

🛰️

#32. Google: Nano Banana 2.1

P90: 280ms

Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro. It improves product reconte

Audit: Auto-discovered via live global telemetry registry.

🛰️

#33. Mistral: Mistral Large 4

P90: 280ms

Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with u

Audit: Auto-discovered via live global telemetry registry.

🛰️

#34. inclusionAI: Ling 3.1 Flash

P90: 280ms

Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#35. Pareto 26.10 Preview

P90: 280ms

Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#36. OpenAI: GPT-6.1 Sol Pro

P90: 280ms

GPT-6.1 Sol Pro is the same underlying model as [GPT-6.1 Sol](https://openrouter.ai/openai/gpt-6.1-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on c

Audit: Auto-discovered via live global telemetry registry.

🛰️

#37. OpenAI: GPT-6.1 Sol Pro (batch)

P90: 280ms

GPT-6.1 Sol Pro is the same underlying model as [GPT-6.1 Sol](https://openrouter.ai/openai/gpt-6.1-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on c

Audit: Auto-discovered via live global telemetry registry.

🛰️

#38. OpenAI: GPT-6.1 Sol

P90: 280ms

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy pro

Audit: Auto-discovered via live global telemetry registry.

🛰️

#39. OpenAI: GPT-6.1 Sol (batch)

P90: 280ms

GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy pro

Audit: Auto-discovered via live global telemetry registry.

🛰️

#40. Anthropic: Claude Sonnet 5.5

P90: 280ms

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fix

Audit: Auto-discovered via live global telemetry registry.

🛰️

#41. Anthropic: Claude Sonnet 5.5 (batch)

P90: 280ms

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fix

Audit: Auto-discovered via live global telemetry registry.

🛰️

#42. Perceptron: Perceptron Mk1.5

P90: 280ms

Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annota

Audit: Auto-discovered via live global telemetry registry.

🛰️

#43. Fireworks: Ember-1

P90: 280ms

Ember-1 is a specialized reasoning model from Fireworks Research, built on [Kimi K3](https://openrouter.ai/moonshotai/kimi-k3). It is designed to make every token go further: it pr

Audit: Auto-discovered via live global telemetry registry.

🛰️

#44. Z.ai: GLM 5.3 Prime

P90: 280ms

GLM-5.3-Prime is the high-speed variant of Z.ai's GLM-5.3, inheriting its full capabilities while delivering 1.5–2× the output throughput through inference acceleration. It support

Audit: Auto-discovered via live global telemetry registry.

🛰️

#45. Qwen: Qwen3.8 Max Prime

P90: 280ms

Qwen3.8 Max Prime is a higher-throughput variant of Qwen3.8 Max from Alibaba's Qwen team, served as a separate SKU at a higher price point. It accepts text, image, and video...

Audit: Auto-discovered via live global telemetry registry.

🛰️

#46. AionLabs: Aion 3.5 Mini

P90: 280ms

Aion 3.5 Mini is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models. It is the smaller, lower-cost sibling of Aion 3.5 and uses...

Audit: Auto-discovered via live global telemetry registry.

🛰️

#47. AionLabs: Aion 3.5

P90: 280ms

Aion 3.5 is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models. It uses a collaborative generation process in which multiple special

Audit: Auto-discovered via live global telemetry registry.

🛰️

#48. Upstage: Solar Mini 4

P90: 280ms

Solar Mini 4 is Upstage's compact, cost-efficient language model, a 35B-parameter mixture-of-experts with 3B active parameters and a 524K context window. It is built for agentic us

Audit: Auto-discovered via live global telemetry registry.

🛰️

#49. Cohere: Command A+

P90: 280ms

Command A+ is Cohere's flagship model for enterprise agentic workflows. It accepts text and image inputs with a 192K context window, supports native tool calling with strict tool s

Audit: Auto-discovered via live global telemetry registry.

🛰️

#50. OpenAI: GPT-6 Luna Pro

P90: 280ms

GPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](https://openrouter.ai/openai/gpt-6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on comp

Audit: Auto-discovered via live global telemetry registry.

🛰️

#51. OpenAI: GPT-6 Luna Pro (batch)

P90: 280ms

GPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](https://openrouter.ai/openai/gpt-6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on comp

Audit: Auto-discovered via live global telemetry registry.

🛰️

#52. OpenAI: GPT-6 Luna

P90: 280ms

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classi

Audit: Auto-discovered via live global telemetry registry.

🛰️

#53. OpenAI: GPT-6 Luna (batch)

P90: 280ms

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classi

Audit: Auto-discovered via live global telemetry registry.

🛰️

#54. OpenAI: GPT-6 Sol Pro

P90: 280ms

GPT-6 Sol Pro is the same underlying model as [GPT-6 Sol](https://openrouter.ai/openai/gpt-6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex

Audit: Auto-discovered via live global telemetry registry.

🛰️

#55. OpenAI: GPT-6 Sol Pro (batch)

P90: 280ms

GPT-6 Sol Pro is the same underlying model as [GPT-6 Sol](https://openrouter.ai/openai/gpt-6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex

Audit: Auto-discovered via live global telemetry registry.

🛰️

#56. OpenAI: GPT-6 Sol

P90: 280ms

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding pr

Audit: Auto-discovered via live global telemetry registry.

🛰️

#57. OpenAI: GPT-6 Sol (batch)

P90: 280ms

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding pr

Audit: Auto-discovered via live global telemetry registry.

🛰️

#58. Anthropic: Claude Opus 5.5

P90: 280ms

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step chan

Audit: Auto-discovered via live global telemetry registry.

🛰️

#59. Anthropic: Claude Opus 5.5 (batch)

P90: 280ms

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step chan

Audit: Auto-discovered via live global telemetry registry.

🛰️

#60. Xiaomi: MiMo-V2.6-Pro-UltraSpeed

P90: 280ms

MiMo-V2.6-Pro-UltraSpeed is the fast speed edition of Xiaomi's flagship foundation model, MiMo-V2.6-Pro. Built from the same 1T MiMo-V2.6-Pro checkpoint, it matches the original mo

Audit: Auto-discovered via live global telemetry registry.

🛰️

#61. Xiaomi: MiMo-V2.6-Flash

P90: 280ms

MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employ

Audit: Auto-discovered via live global telemetry registry.

🛰️

#62. Xiaomi: MiMo-V2.6-Pro

P90: 280ms

MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#63. SpaceXAI: Grok 4.7

P90: 280ms

Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering tasks, veri

Audit: Auto-discovered via live global telemetry registry.

🛰️

#64. Qwen: Qwen3.8 Omni Flash

P90: 280ms

Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for aud

Audit: Auto-discovered via live global telemetry registry.

🛰️

#65. PrismML: Ternary Bonsai 2 27B

P90: 280ms

Bonsai 2 27B is a 27B-parameter reasoning model from PrismML derived from Qwen3.8-27B. It supports coding, mathematics, tool calling, and image understanding with a 262K-token cont

Audit: Auto-discovered via live global telemetry registry.

🛰️

#66. Z.ai: GLM 5.3 FlashX

P90: 280ms

GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and l

Audit: Auto-discovered via live global telemetry registry.

🛰️

#67. DeepSeek: DeepSeek Pro Latest

P90: 280ms

This model always redirects to the latest model in the DeepSeek Pro family.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#68. DeepSeek: DeepSeek Flash Latest

P90: 280ms

This model always redirects to the latest model in the DeepSeek Flash family.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#69. Inference.net: Schematron V2 Turbo

P90: 280ms

Schematron V2 Turbo is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes throughput for high-volume extraction workloads. Extraction instructions must

Audit: Auto-discovered via live global telemetry registry.

🛰️

#70. Inference.net: Schematron V2 Small

P90: 280ms

Schematron V2 Small is a 3B-parameter HTML-to-JSON extraction model from Inference.net. It prioritizes extraction quality for complex schemas and long pages. Extraction instruction

Audit: Auto-discovered via live global telemetry registry.

🛰️

#71. OpenAI: GPT Astra Latest

P90: 280ms

This model always redirects to the latest model in the GPT Astra family.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#72. OpenAI: GPT Sol Latest

P90: 280ms

This model always redirects to the latest model in the GPT Sol family.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#73. OpenAI: GPT Terra Latest

P90: 280ms

This model always redirects to the latest model in the GPT Terra family.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#74. OpenAI: GPT Luna Latest

P90: 280ms

This model always redirects to the latest model in the GPT Luna family.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#75. Sakana: Fugu Ultra v2

P90: 280ms

Fugu Ultra v2 is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language mode

Audit: Auto-discovered via live global telemetry registry.

🛰️

#76. Sakana: Fugu Max

P90: 280ms

Fugu Max is the cost-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model train

Audit: Auto-discovered via live global telemetry registry.

🛰️

#77. inclusionAI: Ling 3.0 Flash VL

P90: 280ms

Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception an

Audit: Auto-discovered via live global telemetry registry.

🛰️

#78. DeepSeek: DeepSeek V4.1 Flash

P90: 280ms

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters o

Audit: Auto-discovered via live global telemetry registry.

🛰️

#79. DeepSeek: DeepSeek V4.1 Flash (batch)

P90: 280ms

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters o

Audit: Auto-discovered via live global telemetry registry.

🛰️

#80. Inception: Mercury 2.5

P90: 280ms

Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception. Instead of generating tokens sequentially, Mercury 2.5 produces and refines multiple t

Audit: Auto-discovered via live global telemetry registry.

🛰️

#81. Nex AGI: Nex-N2.5-Mini

P90: 280ms

Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, imple

Audit: Auto-discovered via live global telemetry registry.

🛰️

#82. Nex AGI: Nex-N2.5-Pro

P90: 280ms

Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, imple

Audit: Auto-discovered via live global telemetry registry.

🛰️

#83. OpenAI: GPT-6 Astra

P90: 280ms

GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creatio

Audit: Auto-discovered via live global telemetry registry.

🛰️

#84. OpenAI: GPT-6 Astra (batch)

P90: 280ms

GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creatio

Audit: Auto-discovered via live global telemetry registry.

🛰️

#85. OpenAI: GPT-6 Astra Pro

P90: 280ms

GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with `reasoning.mode` set to `pro` for higher-quality responses on c

Audit: Auto-discovered via live global telemetry registry.

🛰️

#86. OpenAI: GPT-6 Astra Pro (batch)

P90: 280ms

GPT-6 Astra Pro is the same underlying model as [GPT-6 Astra](https://openrouter.ai/openai/gpt-6-astra), served with `reasoning.mode` set to `pro` for higher-quality responses on c

Audit: Auto-discovered via live global telemetry registry.

🛰️

#87. Qwen: Qwen3.8 Max (0902)

P90: 280ms

Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team. It is a 2.4-trillion-parameter mixture-of-experts model that accepts text, image, and video input a

Audit: Auto-discovered via live global telemetry registry.

🛰️

#88. Meta: Muse Spark 1.3 Contributor

P90: 280ms

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and codi

Audit: Auto-discovered via live global telemetry registry.

🛰️

#89. Meta: Muse Spark 1.3

P90: 280ms

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended ta

Audit: Auto-discovered via live global telemetry registry.

🛰️

#90. Google: Gemini 3.8 Flash

P90: 280ms

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#91. Google: Gemini 3.8 Flash (batch)

P90: 280ms

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#92. Anthropic: Claude Fable 5.1

P90: 280ms

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, fro

Audit: Auto-discovered via live global telemetry registry.

🛰️

#93. Anthropic: Claude Fable 5.1 (batch)

P90: 280ms

Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, fro

Audit: Auto-discovered via live global telemetry registry.

🛰️

#94. IBM: Granite 4.2 8B

P90: 280ms

Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It s

Audit: Auto-discovered via live global telemetry registry.

🛰️

#95. Tencent: Hy4 preview

P90: 280ms

Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and pro

Audit: Auto-discovered via live global telemetry registry.

🛰️

#96. Z.ai: GLM Flash Latest

P90: 280ms

This model always redirects to the latest model in the GLM Flash family.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#97. Qwen: Qwen3.8 Flash

P90: 280ms

Qwen3.8 Flash is a multimodal reasoning model from Alibaba. It is suited for coding assistance, agentic workflows, visual understanding, document and codebase analysis, desktop int

Audit: Auto-discovered via live global telemetry registry.

🛰️

#98. Z.ai: GLM 5.3 Flash

P90: 280ms

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains

Audit: Auto-discovered via live global telemetry registry.

🛰️

#99. Z.ai: GLM 5.3 Flash (batch)

P90: 280ms

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains

Audit: Auto-discovered via live global telemetry registry.

🛰️

#100. Meta: Muse Spark 1.2 Contributor

P90: 280ms

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark..

Audit: Auto-discovered via live global telemetry registry.

🛰️

#101. DeepSeek: DeepSeek V4 Flash Vision Exp

P90: 280ms

DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash 0731](https://openrouter.ai/deepseek/deepseek-v4-flash-0731) from DeepSeek, adding imag

Audit: Auto-discovered via live global telemetry registry.

🛰️

#102. Tencent: Hy-MT2-1.8B

P90: 280ms

Hy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for struc

Audit: Auto-discovered via live global telemetry registry.

🛰️

#103. Tencent: Hy-MT2-30B-A3B

P90: 280ms

Hy-MT2-30B-A3B is Tencent's flagship translation model in the Hy-MT2 family. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for

Audit: Auto-discovered via live global telemetry registry.

🛰️

#104. Z.ai: GLM Latest

P90: 280ms

This model always redirects to the latest GLM model from Z.ai.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#105. Tencent: Hy-MT2-7B

P90: 280ms

Hy-MT2-7B is a 7B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delim

Audit: Auto-discovered via live global telemetry registry.

🛰️

#106. Z.ai: GLM 5.3

P90: 280ms

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context w

Audit: Auto-discovered via live global telemetry registry.

🛰️

#107. Z.ai: GLM 5.3 (batch)

P90: 280ms

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context w

Audit: Auto-discovered via live global telemetry registry.

🛰️

#108. Qwen: Qwen3.8 27B

P90: 280ms

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks

Audit: Auto-discovered via live global telemetry registry.

🛰️

#109. Dots Studio: Dots3-Note Preview (free)

P90: 280ms

Dots3-Note Preview is an open-weight mixture-of-experts model from Dots Studio, with 16B active parameters out of 280B total. It is the lightest model in the Dots 3 family and is..

Audit: Auto-discovered via live global telemetry registry.

🛰️

#110. Google: Gemini 3.7 Flash

P90: 280ms

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performanc

Audit: Auto-discovered via live global telemetry registry.

🛰️

#111. Google: Gemini 3.7 Flash (batch)

P90: 280ms

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performanc

Audit: Auto-discovered via live global telemetry registry.

🛰️

#112. ByteDance Seed: Seed 2.1 Turbo

P90: 280ms

Seed 2.1 Turbo is a multimodal model from ByteDance Seed for coding and long-horizon agent workflows. It is suited for end-to-end software delivery, multi-step task execution, and

Audit: Auto-discovered via live global telemetry registry.

🛰️

#113. Qwen: Qwen3.8 2.4T A95B

P90: 280ms

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out

Audit: Auto-discovered via live global telemetry registry.

🛰️

#114. ByteDance Seed: Seed-2.0-Code

P90: 280ms

Seed 2.0 Code is a model from ByteDance Seed optimized for agentic coding. It is suited for frontend development, multilingual programming tasks, and coding-agent workflows in tool

Audit: Auto-discovered via live global telemetry registry.

🛰️

#115. DeepSeek: DeepSeek V4 Pro 0813

P90: 280ms

DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#116. SpaceXAI: Grok 4.6

P90: 280ms

Grok 4.6 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM. It is succeeded by [Grok 4.7](/x-ai/grok-4.7).

Audit: Auto-discovered via live global telemetry registry.

🛰️

#117. LiquidAI: LFM2.5-2.6B (free)

P90: 280ms

LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for ag

Audit: Auto-discovered via live global telemetry registry.

🛰️

#118. NVIDIA: Nemotron 3.5 Lightning

P90: 280ms

NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and sp

Audit: Auto-discovered via live global telemetry registry.

🛰️

#119. NVIDIA: Nemotron 3.5 Lightning (free)

P90: 280ms

NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and sp

Audit: Auto-discovered via live global telemetry registry.

🛰️

#120. Sakana: Sakana Namazu

P90: 280ms

Sakana Namazu is a Japanese-specialized reasoning model from Sakana AI, based on Kimi K2.6 with additional training for Japanese language and business contexts. It is suited for Ja

Audit: Auto-discovered via live global telemetry registry.

🛰️

#121. Upstage: Solar Pro 4

P90: 280ms

Solar Pro 4 is Upstage's cost-efficient large language model, featuring a 524K context window. It is built for long-horizon tasks and agentic workflows, with strong capabilities in

Audit: Auto-discovered via live global telemetry registry.

🛰️

#122. Meta: Muse Glimmer 30B

P90: 280ms

Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It i

Audit: Auto-discovered via live global telemetry registry.

🛰️

#123. Meta: Muse Spark 1.2

P90: 280ms

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, and PDF documents, returns text, and offers a 1M-token context wi

Audit: Auto-discovered via live global telemetry registry.

🛰️

#124. DeepSeek: DeepSeek V4 Flash Latest

P90: 280ms

This model always redirects to the latest model in the DeepSeek V4 Flash family.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#125. DeepSeek: DeepSeek V4 Flash 0731

P90: 280ms

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoni

Audit: Auto-discovered via live global telemetry registry.

🛰️

#126. Thinking Machines: Inkling Small

P90: 280ms

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more

Audit: Auto-discovered via live global telemetry registry.

🛰️

#127. Thinking Machines: Inkling Small (free)

P90: 280ms

Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more

Audit: Auto-discovered via live global telemetry registry.

🛰️

#128. Qwen: Qwen3.7 Flash

P90: 280ms

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding, search, and computer interaction, with strengths in object recog

Audit: Auto-discovered via live global telemetry registry.

🛰️

#129. Anthropic: Claude Opus 5

P90: 280ms

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and

Audit: Auto-discovered via live global telemetry registry.

🛰️

#130. Anthropic: Claude Opus 5 (batch)

P90: 280ms

Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and

Audit: Auto-discovered via live global telemetry registry.

🛰️

#131. inclusionAI: Ling 3.0 Flash

P90: 280ms

*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and pr

Audit: Auto-discovered via live global telemetry registry.

🛰️

#132. Poolside: Laguna S 2.1

P90: 280ms

Laguna S 2.1 is the latest coding agent model from [Poolside](<https://poolside.ai/>). Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Term

Audit: Auto-discovered via live global telemetry registry.

🛰️

#133. Poolside: Laguna S 2.1 (free)

P90: 280ms

Laguna S 2.1 is the latest coding agent model from [Poolside](<https://poolside.ai/>). Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Term

Audit: Auto-discovered via live global telemetry registry.

🛰️

#134. Google: Gemini 3.6 Flash

P90: 280ms

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessar

Audit: Auto-discovered via live global telemetry registry.

🛰️

#135. Google: Gemini 3.6 Flash (batch)

P90: 280ms

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessar

Audit: Auto-discovered via live global telemetry registry.

🛰️

#136. Google: Gemini 3.5 Flash Lite

P90: 280ms

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent w

Audit: Auto-discovered via live global telemetry registry.

🛰️

#137. Google: Gemini 3.5 Flash Lite (batch)

P90: 280ms

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent w

Audit: Auto-discovered via live global telemetry registry.

🛰️

#138. Meituan: LongCat 2.0

P90: 280ms

LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizo

Audit: Auto-discovered via live global telemetry registry.

🛰️

#139. Thinking Machines: Inkling

P90: 280ms

Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning

Audit: Auto-discovered via live global telemetry registry.

🛰️

#140. Thinking Machines: Inkling (free)

P90: 280ms

Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning

Audit: Auto-discovered via live global telemetry registry.

🛰️

#141. MoonshotAI: Kimi K3

P90: 280ms

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is par

Audit: Auto-discovered via live global telemetry registry.

🛰️

#142. MoonshotAI: Kimi K3 (batch)

P90: 280ms

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is par

Audit: Auto-discovered via live global telemetry registry.

🛰️

#143. Meta: Muse Spark 1.1

P90: 280ms

Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, and PDF documents and returns text, with a 1M-token context windo

Audit: Auto-discovered via live global telemetry registry.

🛰️

#144. OpenAI: GPT-5.6 Luna Pro

P90: 280ms

GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses o

Audit: Auto-discovered via live global telemetry registry.

🛰️

#145. OpenAI: GPT-5.6 Luna Pro (batch)

P90: 280ms

GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses o

Audit: Auto-discovered via live global telemetry registry.

🛰️

#146. OpenAI: GPT-5.6 Luna

P90: 280ms

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic

Audit: Auto-discovered via live global telemetry registry.

🛰️

#147. OpenAI: GPT-5.6 Luna (batch)

P90: 280ms

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic

Audit: Auto-discovered via live global telemetry registry.

🛰️

#148. OpenAI: GPT-5.6 Terra Pro

P90: 280ms

GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality response

Audit: Auto-discovered via live global telemetry registry.

🛰️

#149. OpenAI: GPT-5.6 Terra Pro (batch)

P90: 280ms

GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality response

Audit: Auto-discovered via live global telemetry registry.

🛰️

#150. OpenAI: GPT-5.6 Terra

P90: 280ms

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning

Audit: Auto-discovered via live global telemetry registry.

🛰️

#151. OpenAI: GPT-5.6 Terra (batch)

P90: 280ms

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning

Audit: Auto-discovered via live global telemetry registry.

🛰️

#152. OpenAI: GPT-5.6 Sol Pro

P90: 280ms

GPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on c

Audit: Auto-discovered via live global telemetry registry.

🛰️

#153. OpenAI: GPT-5.6 Sol Pro (batch)

P90: 280ms

GPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on c

Audit: Auto-discovered via live global telemetry registry.

🛰️

#154. OpenAI: GPT-5.6 Sol

P90: 280ms

GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and mult

Audit: Auto-discovered via live global telemetry registry.

🛰️

#155. OpenAI: GPT-5.6 Sol (batch)

P90: 280ms

GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and mult

Audit: Auto-discovered via live global telemetry registry.

🛰️

#156. SpaceXAI: Grok 4.5

P90: 280ms

Grok 4.5 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#157. xAI: Grok Latest

P90: 280ms

This model always redirects to the latest Grok model from xAI.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#158. AionLabs: Aion-3.0-Mini

P90: 280ms

Aion-3.0 Mini is a multi-model roleplaying and storytelling system from AionLabs, built on the DeepSeek family of models. It uses a collaborative generation process in which multip

Audit: Auto-discovered via live global telemetry registry.

🛰️

#159. AionLabs: Aion-3.0

P90: 280ms

Aion-3.0 is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models. It uses a collaborative generation process in which multiple special

Audit: Auto-discovered via live global telemetry registry.

🛰️

#160. Tencent: Hy3

P90: 280ms

Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It

Audit: Auto-discovered via live global telemetry registry.

🛰️

#161. Poolside: Laguna XS 2.1

P90: 280ms

Laguna XS 2.1 is the latest coding agent model in the 33B-A3B category from [Poolside](https://poolside.ai/) and a step forward from their Laguna XS.2 model (released in April 2026

Audit: Auto-discovered via live global telemetry registry.

🛰️

#162. Poolside: Laguna XS 2.1 (free)

P90: 280ms

Laguna XS 2.1 is the latest coding agent model in the 33B-A3B category from [Poolside](https://poolside.ai/) and a step forward from their Laguna XS.2 model (released in April 2026

Audit: Auto-discovered via live global telemetry registry.

🛰️

#163. Anthropic: Claude Sonnet 5

P90: 280ms

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reaso

Audit: Auto-discovered via live global telemetry registry.

🛰️

#164. Anthropic: Claude Sonnet 5 (batch)

P90: 280ms

Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reaso

Audit: Auto-discovered via live global telemetry registry.

🛰️

#165. Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

P90: 280ms

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest, most cost-efficient Gemini image model, built for high-velocity developer pipelines and rapid-fire visual expl

Audit: Auto-discovered via live global telemetry registry.

🛰️

#166. Sakana: Fugu Ultra

P90: 280ms

Fugu Ultra is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model t

Audit: Auto-discovered via live global telemetry registry.

🛰️

#167. Google: Nano Banana 2 (Gemini 3.1 Flash Image)

P90: 280ms

Gemini 3.1 Flash Image, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combi

Audit: Auto-discovered via live global telemetry registry.

🛰️

#168. Google: Nano Banana Pro (Gemini 3 Pro Image)

P90: 280ms

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reas

Audit: Auto-discovered via live global telemetry registry.

🛰️

#169. Cohere: North Mini Code (free)

P90: 280ms

North Mini Code is Cohere's first agentic coding model and the debut of its North family. A sparse mixture-of-experts model with 30B total parameters and 3B active, it is optimized

Audit: Auto-discovered via live global telemetry registry.

🛰️

#170. Z.ai: GLM 5.2

P90: 280ms

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level

Audit: Auto-discovered via live global telemetry registry.

🛰️

#171. MoonshotAI: Kimi K2.7 Code

P90: 280ms

MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native m

Audit: Auto-discovered via live global telemetry registry.

🛰️

#172. Anthropic: Claude Fable Latest

P90: 280ms

This model always redirects to the latest model in the Claude Fable family.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#173. Anthropic: Claude Fable 5

P90: 280ms

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning sup

Audit: Auto-discovered via live global telemetry registry.

🛰️

#174. Anthropic: Claude Fable 5 (batch)

P90: 280ms

Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning sup

Audit: Auto-discovered via live global telemetry registry.

🛰️

#175. NVIDIA: Nemotron 3.5 Content Safety

P90: 280ms

NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses fr

Audit: Auto-discovered via live global telemetry registry.

🛰️

#176. NVIDIA: Nemotron 3.5 Content Safety (free)

P90: 280ms

NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, fine-tuned from Google Gemma-3-4B. It moderates both inputs to and responses fr

Audit: Auto-discovered via live global telemetry registry.

🛰️

#177. NVIDIA: Nemotron 3 Ultra

P90: 280ms

NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba m

Audit: Auto-discovered via live global telemetry registry.

🛰️

#178. NVIDIA: Nemotron 3 Ultra (free)

P90: 280ms

NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE). Built on a hybrid Transformer-Mamba m

Audit: Auto-discovered via live global telemetry registry.

🛰️

#179. Qwen: Qwen3.7 Plus

P90: 280ms

Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensiv

Audit: Auto-discovered via live global telemetry registry.

🛰️

#180. MiniMax: MiniMax M3

P90: 280ms

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agen

Audit: Auto-discovered via live global telemetry registry.

🛰️

#181. StepFun: Step 3.7 Flash

P90: 280ms

Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video

Audit: Auto-discovered via live global telemetry registry.

🛰️

#182. Anthropic: Claude Opus 4.8

P90: 280ms

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M

Audit: Auto-discovered via live global telemetry registry.

🛰️

#183. Anthropic: Claude Opus 4.8 (batch)

P90: 280ms

Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M

Audit: Auto-discovered via live global telemetry registry.

🛰️

#184. Qwen: Qwen3.7 Max

P90: 280ms

Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, o

Audit: Auto-discovered via live global telemetry registry.

🛰️

#185. SpaceXAI: Grok Build 0.1

P90: 280ms

Grok Build 0.1 is SpaceXAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized

Audit: Auto-discovered via live global telemetry registry.

🛰️

#186. Google: Gemini 3.5 Flash

P90: 280ms

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficie

Audit: Auto-discovered via live global telemetry registry.

🛰️

#187. Google: Gemini 3.5 Flash (batch)

P90: 280ms

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficie

Audit: Auto-discovered via live global telemetry registry.

🛰️

#188. Perceptron: Perceptron Mk1

P90: 280ms

Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language q

Audit: Auto-discovered via live global telemetry registry.

🛰️

#189. Google: Gemini 3.1 Flash Lite

P90: 280ms

Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and i

Audit: Auto-discovered via live global telemetry registry.

🛰️

#190. Google: Gemini 3.1 Flash Lite (batch)

P90: 280ms

Gemini 3.1 Flash Lite is Google’s GA high-efficiency multimodal model optimized for low-latency, high-volume workloads. It supports text, image, video, audio, and PDF inputs, and i

Audit: Auto-discovered via live global telemetry registry.

🛰️

#191. OpenAI: GPT Chat Latest

P90: 280ms

GPT Chat Latest points to OpenAI's stable API alias `chat-latest` that always resolves to the latest Instant chat model used in ChatGPT. As OpenAI rolls out new Instant model updat

Audit: Auto-discovered via live global telemetry registry.

🛰️

#192. SpaceXAI: Grok 4.3

P90: 280ms

Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications r

Audit: Auto-discovered via live global telemetry registry.

🛰️

#193. SpaceXAI: Grok 4.3 (batch)

P90: 280ms

Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications r

Audit: Auto-discovered via live global telemetry registry.

🛰️

#194. Mistral: Mistral Medium 3.5

P90: 280ms

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, a

Audit: Auto-discovered via live global telemetry registry.

🛰️

#195. Mistral: Mistral Medium 3.5 (batch)

P90: 280ms

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, a

Audit: Auto-discovered via live global telemetry registry.

🛰️

#196. NVIDIA: Nemotron 3 Nano Omni (free)

P90: 280ms

NVIDIA Nemotron™ 3 Nano Omni is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems. It accepts text, image, vide

Audit: Auto-discovered via live global telemetry registry.

🛰️

#197. Anthropic: Claude Haiku Latest

P90: 280ms

This model always redirects to the latest model in the Claude Haiku family.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#198. OpenAI: GPT Mini Latest

P90: 280ms

This model always redirects to the latest model in the GPT Mini family.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#199. Google: Gemini Pro Latest

P90: 280ms

This model always redirects to the latest model in the Gemini Pro family.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#200. MoonshotAI: Kimi Latest

P90: 280ms

This model always redirects to the latest model in the Kimi family.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#201. Google: Gemini Flash Latest

P90: 280ms

This model always redirects to the latest model in the Gemini Flash family.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#202. Anthropic: Claude Sonnet Latest

P90: 280ms

This model always redirects to the latest model in the Claude Sonnet family.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#203. Qwen: Qwen3.5 Plus 2026-04-20

P90: 280ms

Qwen3.5 Plus (April 2026) is a large-scale multimodal language model from Alibaba. It accepts text, image, and video input and produces text output, with a 1M token context window.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#204. Qwen: Qwen3.6 Flash

P90: 280ms

Qwen3.6 Flash is a fast, efficient language model from Alibaba's Qwen 3.6 series. It supports text, image, and video input with a 1M token context window. Tiered pricing kicks in..

Audit: Auto-discovered via live global telemetry registry.

🛰️

#205. Qwen: Qwen3.6 35B A3B

P90: 280ms

Qwen3.6-35B-A3B is an open-weight multimodal model from Alibaba Cloud with 35 billion total parameters and 3 billion active parameters per token. It uses a hybrid sparse mixture-of

Audit: Auto-discovered via live global telemetry registry.

🛰️

#206. Qwen: Qwen3.6 27B

P90: 280ms

Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities — accepting text, image

Audit: Auto-discovered via live global telemetry registry.

🛰️

#207. OpenAI: GPT-5.5 Pro

P90: 280ms

GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K

Audit: Auto-discovered via live global telemetry registry.

🛰️

#208. OpenAI: GPT-5.5 Pro (batch)

P90: 280ms

GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K

Audit: Auto-discovered via live global telemetry registry.

🛰️

#209. OpenAI: GPT-5.5

P90: 280ms

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on ha

Audit: Auto-discovered via live global telemetry registry.

🛰️

#210. OpenAI: GPT-5.5 (batch)

P90: 280ms

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on ha

Audit: Auto-discovered via live global telemetry registry.

🛰️

#211. DeepSeek: DeepSeek V4 Pro 0423

P90: 280ms

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designe

Audit: Auto-discovered via live global telemetry registry.

🛰️

#212. DeepSeek: DeepSeek V4 Flash 0423

P90: 280ms

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. I

Audit: Auto-discovered via live global telemetry registry.

🛰️

#213. Tencent: Hy3 preview

P90: 280ms

Hy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use. It supports configurable reasoning levels across disabled,

Audit: Auto-discovered via live global telemetry registry.

🛰️

#214. Xiaomi: MiMo-V2.5-Pro

P90: 280ms

MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on

Audit: Auto-discovered via live global telemetry registry.

🛰️

#215. Xiaomi: MiMo-V2.5

P90: 280ms

MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perceptio

Audit: Auto-discovered via live global telemetry registry.

🛰️

#216. OpenAI: GPT-5.4 Image 2

P90: 280ms

[GPT-5.4](https://openrouter.ai/openai/gpt-5.4) Image 2 combines OpenAI's GPT-5.4 model with state-of-the-art image generation capabilities from GPT Image 2. It enables rich multim

Audit: Auto-discovered via live global telemetry registry.

🛰️

#217. Anthropic: Claude Opus Latest

P90: 280ms

This model always redirects to the latest model in the Claude Opus family.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#218. MoonshotAI: Kimi K2.6

P90: 280ms

Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end

Audit: Auto-discovered via live global telemetry registry.

🛰️

#219. Anthropic: Claude Opus 4.7

P90: 280ms

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stron

Audit: Auto-discovered via live global telemetry registry.

🛰️

#220. Anthropic: Claude Opus 4.7 (batch)

P90: 280ms

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stron

Audit: Auto-discovered via live global telemetry registry.

🛰️

#221. Z.ai: GLM 5.1

P90: 280ms

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interaction

Audit: Auto-discovered via live global telemetry registry.

🛰️

#222. Google: Gemma 4 26B A4B

P90: 280ms

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — deli

Audit: Auto-discovered via live global telemetry registry.

🛰️

#223. Google: Gemma 4 26B A4B (free)

P90: 280ms

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — deli

Audit: Auto-discovered via live global telemetry registry.

🛰️

#224. Google: Gemma 4 31B

P90: 280ms

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking

Audit: Auto-discovered via live global telemetry registry.

🛰️

#225. Google: Gemma 4 31B (free)

P90: 280ms

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking

Audit: Auto-discovered via live global telemetry registry.

🛰️

#226. Qwen: Qwen3.6 Plus

P90: 280ms

Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance infe

Audit: Auto-discovered via live global telemetry registry.

🛰️

#227. Z.ai: GLM 5V Turbo

P90: 280ms

GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, exce

Audit: Auto-discovered via live global telemetry registry.

🛰️

#228. Arcee AI: Trinity Large Thinking

P90: 280ms

Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks. Launc

Audit: Auto-discovered via live global telemetry registry.

🛰️

#229. SpaceXAI: Grok 4.20 Multi-Agent

P90: 280ms

Grok 4.20 Multi-Agent is a variant of SpaceXAI’s Grok 4.20 designed for collaborative, agent-based workflows. Multiple agents operate in parallel to conduct deep research, coordina

Audit: Auto-discovered via live global telemetry registry.

🛰️

#230. SpaceXAI: Grok 4.20

P90: 280ms

Grok 4.20 is a reasoning model from SpaceXAI with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict

Audit: Auto-discovered via live global telemetry registry.

🛰️

#231. Google: Lyria 3 Pro Preview

P90: 280ms

Full-length songs are priced at $0.08 per song. Lyria 3 is Google's family of music generation models, available through the Gemini API. With Lyria 3, you can generate high-quality

Audit: Auto-discovered via live global telemetry registry.

🛰️

#232. Google: Lyria 3 Clip Preview

P90: 280ms

30 second duration clips are priced at $0.04 per clip. Lyria 3 is Google's family of music generation models, available through the Gemini API. With Lyria 3, you can generate...

Audit: Auto-discovered via live global telemetry registry.

🛰️

#233. Reka Edge

P90: 280ms

Reka Edge is an extremely efficient 7B multimodal vision-language model that accepts image/video+text inputs and generates text outputs. This model is optimized specifically to del

Audit: Auto-discovered via live global telemetry registry.

🛰️

#234. MiniMax: MiniMax M2.7

P90: 280ms

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evoluti

Audit: Auto-discovered via live global telemetry registry.

🛰️

#235. OpenAI: GPT-5.4 Nano

P90: 280ms

GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is

Audit: Auto-discovered via live global telemetry registry.

🛰️

#236. OpenAI: GPT-5.4 Nano (batch)

P90: 280ms

GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is

Audit: Auto-discovered via live global telemetry registry.

🛰️

#237. OpenAI: GPT-5.4 Mini

P90: 280ms

GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong perfor

Audit: Auto-discovered via live global telemetry registry.

🛰️

#238. OpenAI: GPT-5.4 Mini (batch)

P90: 280ms

GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong perfor

Audit: Auto-discovered via live global telemetry registry.

🛰️

#239. Mistral: Mistral Small 4

P90: 280ms

Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoni

Audit: Auto-discovered via live global telemetry registry.

🛰️

#240. Mistral: Mistral Small 4 (batch)

P90: 280ms

Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoni

Audit: Auto-discovered via live global telemetry registry.

🛰️

#241. Z.ai: GLM 5 Turbo

P90: 280ms

GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-wor

Audit: Auto-discovered via live global telemetry registry.

🛰️

#242. NVIDIA: Nemotron 3 Super

P90: 280ms

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. B

Audit: Auto-discovered via live global telemetry registry.

🛰️

#243. NVIDIA: Nemotron 3 Super (free)

P90: 280ms

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. B

Audit: Auto-discovered via live global telemetry registry.

🛰️

#244. ByteDance Seed: Seed-2.0-Lite

P90: 280ms

Seed-2.0-Lite is a versatile, cost‑efficient enterprise workhorse that delivers strong multimodal and agent capabilities while offering noticeably lower latency, making it a practi

Audit: Auto-discovered via live global telemetry registry.

🛰️

#245. Qwen: Qwen3.5-9B

P90: 280ms

Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, designed to deliver strong reasoning, coding, and visual understanding in an efficient 9B-parameter architectur

Audit: Auto-discovered via live global telemetry registry.

🛰️

#246. OpenAI: GPT-5.4 Pro

P90: 280ms

GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It features a 1M+ token

Audit: Auto-discovered via live global telemetry registry.

🛰️

#247. OpenAI: GPT-5.4 Pro (batch)

P90: 280ms

GPT-5.4 Pro is OpenAI's most advanced model, building on GPT-5.4's unified architecture with enhanced reasoning capabilities for complex, high-stakes tasks. It features a 1M+ token

Audit: Auto-discovered via live global telemetry registry.

🛰️

#248. OpenAI: GPT-5.4

P90: 280ms

GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#249. OpenAI: GPT-5.4 (batch)

P90: 280ms

GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#250. Inception: Mercury 2

P90: 280ms

Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple token

Audit: Auto-discovered via live global telemetry registry.

🛰️

#251. Google: Gemini 3.1 Flash Lite Preview

P90: 280ms

Gemini 3.1 Flash Lite Preview is Google's high-efficiency model optimized for high-volume use cases. It outperforms Gemini 2.5 Flash Lite on overall quality and approaches Gemini 2

Audit: Auto-discovered via live global telemetry registry.

🛰️

#252. ByteDance Seed: Seed-2.0-Mini

P90: 280ms

Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It delivers performance compar

Audit: Auto-discovered via live global telemetry registry.

🛰️

#253. Google: Nano Banana 2 (Gemini 3.1 Flash Image Preview)

P90: 280ms

Gemini 3.1 Flash Image Preview, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#254. Qwen: Qwen3.5-35B-A3B

P90: 280ms

The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model,

Audit: Auto-discovered via live global telemetry registry.

🛰️

#255. Qwen: Qwen3.5-27B

P90: 280ms

The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance. Its ov

Audit: Auto-discovered via live global telemetry registry.

🛰️

#256. Qwen: Qwen3.5-122B-A10B

P90: 280ms

The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving

Audit: Auto-discovered via live global telemetry registry.

🛰️

#257. Qwen: Qwen3.5-Flash

P90: 280ms

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving hi

Audit: Auto-discovered via live global telemetry registry.

🛰️

#258. Google: Gemini 3.1 Pro Preview Custom Tools

P90: 280ms

Gemini 3.1 Pro Preview Custom Tools is a variant of Gemini 3.1 Pro that improves tool selection behavior by preventing overuse of a general bash tool when more efficient third-part

Audit: Auto-discovered via live global telemetry registry.

🛰️

#259. OpenAI: GPT-5.3-Codex

P90: 280ms

GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional k

Audit: Auto-discovered via live global telemetry registry.

🛰️

#260. AionLabs: Aion-2.0

P90: 280ms

Aion-2.0 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling. It is particularly strong at introducing tension, crises, and conflict into stories, ma

Audit: Auto-discovered via live global telemetry registry.

🛰️

#261. Google: Gemini 3.1 Pro Preview

P90: 280ms

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage acro

Audit: Auto-discovered via live global telemetry registry.

🛰️

#262. Google: Gemini 3.1 Pro Preview (batch)

P90: 280ms

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage acro

Audit: Auto-discovered via live global telemetry registry.

🛰️

#263. Anthropic: Claude Sonnet 4.6

P90: 280ms

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex c

Audit: Auto-discovered via live global telemetry registry.

🛰️

#264. Anthropic: Claude Sonnet 4.6 (batch)

P90: 280ms

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex c

Audit: Auto-discovered via live global telemetry registry.

🛰️

#265. Qwen: Qwen3.5 Plus 2026-02-15

P90: 280ms

The Qwen3.5 native vision-language series Plus models are built on a hybrid architecture that integrates linear attention mechanisms with sparse mixture-of-experts models, achievin

Audit: Auto-discovered via live global telemetry registry.

🛰️

#266. Qwen: Qwen3.5 397B A17B

P90: 280ms

The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, ach

Audit: Auto-discovered via live global telemetry registry.

🛰️

#267. MiniMax: MiniMax M2.5

P90: 280ms

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon th

Audit: Auto-discovered via live global telemetry registry.

🛰️

#268. Z.ai: GLM 5

P90: 280ms

GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-gr

Audit: Auto-discovered via live global telemetry registry.

🛰️

#269. Anthropic: Claude Opus 4.6

P90: 280ms

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, maki

Audit: Auto-discovered via live global telemetry registry.

🛰️

#270. Anthropic: Claude Opus 4.6 (batch)

P90: 280ms

Opus 4.6 is Anthropic’s strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, maki

Audit: Auto-discovered via live global telemetry registry.

🛰️

#271. Qwen: Qwen3 Coder Next

P90: 280ms

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows. It uses a sparse MoE design with 80B total parameters and only

Audit: Auto-discovered via live global telemetry registry.

🛰️

#272. Free Models Router

P90: 280ms

The simplest way to get free inference. openrouter/free is a router that selects free models at random from the models available on OpenRouter. The router smartly filters for model

Audit: Auto-discovered via live global telemetry registry.

🛰️

#273. StepFun: Step 3.5 Flash

P90: 280ms

Step 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parame

Audit: Auto-discovered via live global telemetry registry.

🛰️

#274. MoonshotAI: Kimi K2.5

P90: 280ms

Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued p

Audit: Auto-discovered via live global telemetry registry.

🛰️

#275. Upstage: Solar Pro 3

P90: 280ms

Solar Pro 3 is Upstage's powerful Mixture-of-Experts (MoE) language model. With 102B total parameters and 12B active parameters per forward pass, it delivers exceptional performanc

Audit: Auto-discovered via live global telemetry registry.

🛰️

#276. MiniMax: MiniMax M2-her

P90: 280ms

MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in

Audit: Auto-discovered via live global telemetry registry.

🛰️

#277. Writer: Palmyra X5

P90: 280ms

Palmyra X5 is Writer's most advanced model, purpose-built for building and scaling AI agents across the enterprise. It delivers industry-leading speed and efficiency on context win

Audit: Auto-discovered via live global telemetry registry.

🛰️

#278. OpenAI: GPT Audio

P90: 280ms

The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice con

Audit: Auto-discovered via live global telemetry registry.

🛰️

#279. OpenAI: GPT Audio Mini

P90: 280ms

A cost-efficient version of GPT Audio. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Input is priced at $0.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#280. Z.ai: GLM 4.7 Flash

P90: 280ms

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding ca

Audit: Auto-discovered via live global telemetry registry.

🛰️

#281. OpenAI: GPT-5.2-Codex

P90: 280ms

GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, in

Audit: Auto-discovered via live global telemetry registry.

🛰️

#282. ByteDance Seed: Seed 1.6 Flash

P90: 280ms

Seed 1.6 Flash is an ultra-fast multimodal deep thinking model by ByteDance Seed, supporting both text and visual understanding. It features a 256k context window and can generate

Audit: Auto-discovered via live global telemetry registry.

🛰️

#283. ByteDance Seed: Seed 1.6

P90: 280ms

Seed 1.6 is a general-purpose model released by the ByteDance Seed team. It incorporates multimodal capabilities and adaptive deep thinking with a 256K context window.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#284. MiniMax: MiniMax M2.1

P90: 280ms

MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated par

Audit: Auto-discovered via live global telemetry registry.

🛰️

#285. Z.ai: GLM 4.7

P90: 280ms

GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates sign

Audit: Auto-discovered via live global telemetry registry.

🛰️

#286. Google: Gemini 3 Flash Preview

P90: 280ms

Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and t

Audit: Auto-discovered via live global telemetry registry.

🛰️

#287. Google: Gemini 3 Flash Preview (batch)

P90: 280ms

Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and t

Audit: Auto-discovered via live global telemetry registry.

🛰️

#288. NVIDIA: Nemotron 3 Nano 30B A3B

P90: 280ms

NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems. The model is fully

Audit: Auto-discovered via live global telemetry registry.

🛰️

#289. OpenAI: GPT-5.2 Chat

P90: 280ms

GPT-5.2 Chat (AKA Instant) is the fast, lightweight member of the 5.2 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning

Audit: Auto-discovered via live global telemetry registry.

🛰️

#290. OpenAI: GPT-5.2 Pro

P90: 280ms

GPT-5.2 Pro is OpenAI’s most advanced model, offering major improvements in agentic coding and long context performance over GPT-5 Pro. It is optimized for complex tasks that requi

Audit: Auto-discovered via live global telemetry registry.

🛰️

#291. OpenAI: GPT-5.2 Pro (batch)

P90: 280ms

GPT-5.2 Pro is OpenAI’s most advanced model, offering major improvements in agentic coding and long context performance over GPT-5 Pro. It is optimized for complex tasks that requi

Audit: Auto-discovered via live global telemetry registry.

🛰️

#292. OpenAI: GPT-5.2

P90: 280ms

GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate co

Audit: Auto-discovered via live global telemetry registry.

🛰️

#293. OpenAI: GPT-5.2 (batch)

P90: 280ms

GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate co

Audit: Auto-discovered via live global telemetry registry.

🛰️

#294. Mistral: Devstral 2 2512

P90: 280ms

Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter dense transformer model supporting a 256K context window. De

Audit: Auto-discovered via live global telemetry registry.

🛰️

#295. Relace: Relace Search

P90: 280ms

The relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant files to the user request. In contrast to RAG, relace-search pe

Audit: Auto-discovered via live global telemetry registry.

🛰️

#296. Z.ai: GLM 4.6V

P90: 280ms

GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K to

Audit: Auto-discovered via live global telemetry registry.

🛰️

#297. OpenAI: GPT-5.1-Codex-Max

P90: 280ms

GPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development tasks. It is based on an updated version of the 5.1 reasonin

Audit: Auto-discovered via live global telemetry registry.

🛰️

#298. Amazon: Nova 2 Lite

P90: 280ms

Nova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos to generate text. Nova 2 Lite demonstrates standout capabilit

Audit: Auto-discovered via live global telemetry registry.

🛰️

#299. Mistral: Ministral 3 14B 2512

P90: 280ms

The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and

Audit: Auto-discovered via live global telemetry registry.

🛰️

#300. Mistral: Ministral 3 8B 2512

P90: 280ms

A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#301. Mistral: Ministral 3 8B 2512 (batch)

P90: 280ms

A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#302. Mistral: Ministral 3 3B 2512

P90: 280ms

The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#303. Mistral: Mistral Large 3 2512

P90: 280ms

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apa

Audit: Auto-discovered via live global telemetry registry.

🛰️

#304. Mistral: Mistral Large 3 2512 (batch)

P90: 280ms

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apa

Audit: Auto-discovered via live global telemetry registry.

🛰️

#305. DeepSeek: DeepSeek V3.2

P90: 280ms

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse At

Audit: Auto-discovered via live global telemetry registry.

🛰️

#306. Anthropic: Claude Opus 4.5

P90: 280ms

Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal ca

Audit: Auto-discovered via live global telemetry registry.

🛰️

#307. Anthropic: Claude Opus 4.5 (batch)

P90: 280ms

Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal ca

Audit: Auto-discovered via live global telemetry registry.

🛰️

#308. Google: Nano Banana Pro (Gemini 3 Pro Image Preview)

P90: 280ms

Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reas

Audit: Auto-discovered via live global telemetry registry.

🛰️

#309. OpenAI: GPT-5.1

P90: 280ms

GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style

Audit: Auto-discovered via live global telemetry registry.

🛰️

#310. OpenAI: GPT-5.1 (batch)

P90: 280ms

GPT-5.1 is the latest frontier-grade model in the GPT-5 series, offering stronger general-purpose reasoning, improved instruction adherence, and a more natural conversational style

Audit: Auto-discovered via live global telemetry registry.

🛰️

#311. OpenAI: GPT-5.1-Codex

P90: 280ms

GPT-5.1-Codex is a specialized version of GPT-5.1 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, indepe

Audit: Auto-discovered via live global telemetry registry.

🛰️

#312. OpenAI: GPT-5.1-Codex-Mini

P90: 280ms

GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex

Audit: Auto-discovered via live global telemetry registry.

🛰️

#313. MoonshotAI: Kimi K2 Thinking

P90: 280ms

Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-

Audit: Auto-discovered via live global telemetry registry.

🛰️

#314. Amazon: Nova Premier 1.0

P90: 280ms

Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#315. Perplexity: Sonar Pro Search

P90: 280ms

Exclusively available on the OpenRouter API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for deeper reasoning and analysis.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#316. Mistral: Voxtral Small 24B 2507

P90: 280ms

Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech tran

Audit: Auto-discovered via live global telemetry registry.

🛰️

#317. OpenAI: gpt-oss-safeguard-20b

P90: 280ms

gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety

Audit: Auto-discovered via live global telemetry registry.

🛰️

#318. MiniMax: MiniMax M2

P90: 280ms

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it de

Audit: Auto-discovered via live global telemetry registry.

🛰️

#319. IBM: Granite 4.0 Micro

P90: 280ms

Granite-4.0-H-Micro is a 3B parameter from the Granite 4 family of models. These models are the latest in a series of models released by IBM. They are fine-tuned for long...

Audit: Auto-discovered via live global telemetry registry.

🛰️

#320. OpenAI: GPT-5 Image Mini

P90: 280ms

GPT-5 Image Mini combines OpenAI's advanced language capabilities, powered by [GPT-5 Mini](https://openrouter.ai/openai/gpt-5-mini), with GPT Image 1 Mini for efficient image gener

Audit: Auto-discovered via live global telemetry registry.

🛰️

#321. Anthropic: Claude Haiku 4.5

P90: 280ms

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Clau

Audit: Auto-discovered via live global telemetry registry.

🛰️

#322. Anthropic: Claude Haiku 4.5 (batch)

P90: 280ms

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Clau

Audit: Auto-discovered via live global telemetry registry.

🛰️

#323. Qwen: Qwen3 VL 8B Instruct

P90: 280ms

Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features

Audit: Auto-discovered via live global telemetry registry.

🛰️

#324. OpenAI: GPT-5 Image

P90: 280ms

[GPT-5](https://openrouter.ai/openai/gpt-5) Image combines OpenAI's GPT-5 model with state-of-the-art image generation capabilities. It offers major improvements in reasoning, code

Audit: Auto-discovered via live global telemetry registry.

🛰️

#325. Google: Nano Banana (Gemini 2.5 Flash Image)

P90: 280ms

Gemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation model with contextual understanding. It is capable of image gene

Audit: Auto-discovered via live global telemetry registry.

🛰️

#326. Qwen: Qwen3 VL 30B A3B Thinking

P90: 280ms

Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM

Audit: Auto-discovered via live global telemetry registry.

🛰️

#327. Qwen: Qwen3 VL 30B A3B Instruct

P90: 280ms

Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-foll

Audit: Auto-discovered via live global telemetry registry.

🛰️

#328. OpenAI: GPT-5 Pro

P90: 280ms

GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step

Audit: Auto-discovered via live global telemetry registry.

🛰️

#329. OpenAI: GPT-5 Pro (batch)

P90: 280ms

GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step

Audit: Auto-discovered via live global telemetry registry.

🛰️

#330. Anthropic: Claude Sonnet 4.5

P90: 280ms

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchm

Audit: Auto-discovered via live global telemetry registry.

🛰️

#331. Anthropic: Claude Sonnet 4.5 (batch)

P90: 280ms

Claude Sonnet 4.5 is Anthropic’s most advanced Sonnet model to date, optimized for real-world agents and coding workflows. It delivers state-of-the-art performance on coding benchm

Audit: Auto-discovered via live global telemetry registry.

🛰️

#332. DeepSeek: DeepSeek V3.2 Exp

P90: 280ms

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attentio

Audit: Auto-discovered via live global telemetry registry.

🛰️

#333. TheDrummer: Cydonia 24B V4.1

P90: 280ms

Uncensored and creative writing model based on Mistral Small 3.2 24B with good recall, prompt adherence, and intelligence.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#334. Relace: Relace Apply 3

P90: 280ms

Relace Apply 3 is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and others into your fil

Audit: Auto-discovered via live global telemetry registry.

🛰️

#335. Qwen: Qwen3 VL 235B A22B Instruct

P90: 280ms

Qwen3-VL-235B-A22B Instruct is an open-weight multimodal model that unifies strong text generation with visual understanding across images and video. The Instruct model targets gen

Audit: Auto-discovered via live global telemetry registry.

🛰️

#336. DeepSeek: DeepSeek V3.1 Terminus

P90: 280ms

DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, inc

Audit: Auto-discovered via live global telemetry registry.

🛰️

#337. Qwen: Qwen3 Coder Flash

P90: 280ms

Qwen3 Coder Flash is Alibaba's fast and cost efficient version of their proprietary Qwen3 Coder Plus. It is a powerful coding agent model specializing in autonomous programming via

Audit: Auto-discovered via live global telemetry registry.

🛰️

#338. Qwen: Qwen3 Next 80B A3B Thinking

P90: 280ms

Qwen3-Next-80B-A3B-Thinking is a reasoning-first chat model in the Qwen3-Next line that outputs structured “thinking” traces by default. It’s designed for hard multi-step problems;

Audit: Auto-discovered via live global telemetry registry.

🛰️

#339. Qwen: Qwen3 Next 80B A3B Instruct

P90: 280ms

Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks acr

Audit: Auto-discovered via live global telemetry registry.

🛰️

#340. MoonshotAI: Kimi K2 0905

P90: 280ms

Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trilli

Audit: Auto-discovered via live global telemetry registry.

🛰️

#341. Nous: Hermes 4 405B

P90: 280ms

Hermes 4 is a large-scale reasoning model built on Meta-Llama-3.1-405B and released by Nous Research. It introduces a hybrid reasoning mode, where the model can choose to deliberat

Audit: Auto-discovered via live global telemetry registry.

🛰️

#342. DeepSeek: DeepSeek V3.1

P90: 280ms

DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 ba

Audit: Auto-discovered via live global telemetry registry.

🛰️

#343. Mistral: Mistral Medium 3.1

P90: 280ms

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at signifi

Audit: Auto-discovered via live global telemetry registry.

🛰️

#344. Mistral: Mistral Medium 3.1 (batch)

P90: 280ms

Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at signifi

Audit: Auto-discovered via live global telemetry registry.

🛰️

#345. Z.ai: GLM 4.5V

P90: 280ms

GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters

Audit: Auto-discovered via live global telemetry registry.

🛰️

#346. OpenAI: GPT-5

P90: 280ms

GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reas

Audit: Auto-discovered via live global telemetry registry.

🛰️

#347. OpenAI: GPT-5 (batch)

P90: 280ms

GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reas

Audit: Auto-discovered via live global telemetry registry.

🛰️

#348. OpenAI: GPT-5 Mini

P90: 280ms

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but wit

Audit: Auto-discovered via live global telemetry registry.

🛰️

#349. OpenAI: GPT-5 Mini (batch)

P90: 280ms

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but wit

Audit: Auto-discovered via live global telemetry registry.

🛰️

#350. OpenAI: GPT-5 Nano

P90: 280ms

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasonin

Audit: Auto-discovered via live global telemetry registry.

🛰️

#351. OpenAI: GPT-5 Nano (batch)

P90: 280ms

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasonin

Audit: Auto-discovered via live global telemetry registry.

🛰️

#352. OpenAI: gpt-oss-120b

P90: 280ms

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. I

Audit: Auto-discovered via live global telemetry registry.

🛰️

#353. OpenAI: gpt-oss-120b (batch)

P90: 280ms

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. I

Audit: Auto-discovered via live global telemetry registry.

🛰️

#354. OpenAI: gpt-oss-20b

P90: 280ms

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per f

Audit: Auto-discovered via live global telemetry registry.

🛰️

#355. OpenAI: gpt-oss-20b (batch)

P90: 280ms

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per f

Audit: Auto-discovered via live global telemetry registry.

🛰️

#356. Anthropic: Claude Opus 4.1

P90: 280ms

Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified

Audit: Auto-discovered via live global telemetry registry.

🛰️

#357. Anthropic: Claude Opus 4.1 (batch)

P90: 280ms

Claude Opus 4.1 is an updated version of Anthropic’s flagship model, offering improved performance in coding, reasoning, and agentic tasks. It achieves 74.5% on SWE-bench Verified

Audit: Auto-discovered via live global telemetry registry.

🛰️

#358. Mistral: Codestral 2508

P90: 280ms

Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correc

Audit: Auto-discovered via live global telemetry registry.

🛰️

#359. Mistral: Codestral 2508 (batch)

P90: 280ms

Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correc

Audit: Auto-discovered via live global telemetry registry.

🛰️

#360. Qwen: Qwen3 Coder 30B A3B Instruct

P90: 280ms

Qwen3-Coder-30B-A3B-Instruct is a 30.5B parameter Mixture-of-Experts (MoE) model with 128 experts (8 active per forward pass), designed for advanced code generation, repository-sca

Audit: Auto-discovered via live global telemetry registry.

🛰️

#361. Qwen: Qwen3 30B A3B Instruct 2507

P90: 280ms

Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is des

Audit: Auto-discovered via live global telemetry registry.

🛰️

#362. Z.ai: GLM 4.5

P90: 280ms

GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of u

Audit: Auto-discovered via live global telemetry registry.

🛰️

#363. Z.ai: GLM 4.5 Air

P90: 280ms

GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE)

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🛰️

#364. Qwen: Qwen3 235B A22B Thinking 2507

P90: 280ms

Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B paramet

Audit: Auto-discovered via live global telemetry registry.

🛰️

#365. Qwen: Qwen3 Coder 480B A35B

P90: 280ms

Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, to

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🛰️

#366. ByteDance: UI-TARS 7B

P90: 280ms

UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. Built by ByteDance, i

Audit: Auto-discovered via live global telemetry registry.

🛰️

#367. Google: Gemini 2.5 Flash Lite

P90: 280ms

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token ge

Audit: Auto-discovered via live global telemetry registry.

🛰️

#368. Google: Gemini 2.5 Flash Lite (batch)

P90: 280ms

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token ge

Audit: Auto-discovered via live global telemetry registry.

🛰️

#369. Qwen: Qwen3 235B A22B Instruct 2507

P90: 280ms

Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pa

Audit: Auto-discovered via live global telemetry registry.

🛰️

#370. MoonshotAI: Kimi K2 0711

P90: 280ms

Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. I

Audit: Auto-discovered via live global telemetry registry.

🛰️

#371. Venice: Uncensored

P90: 280ms

Venice Uncensored Dolphin Mistral 24B Venice Edition is a fine-tuned variant of Mistral-Small-24B-Instruct-2501, developed by dphn.ai in collaboration with Venice.ai. This model is

Audit: Auto-discovered via live global telemetry registry.

🛰️

#372. Tencent: Hunyuan A13B Instruct

P90: 280ms

Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thou

Audit: Auto-discovered via live global telemetry registry.

🛰️

#373. Morph: Morph V3 Large

P90: 280ms

Morph's high-accuracy apply model for complex code edits. ~4,500 tokens/sec with 98% accuracy for precise code transformations. The model requires the prompt to be in the following

Audit: Auto-discovered via live global telemetry registry.

🛰️

#374. Morph: Morph V3 Fast

P90: 280ms

Morph's fastest apply model for code edits. ~10,500 tokens/sec with 96% accuracy for rapid code transformations. The model requires the prompt to be in the following format: <instr

Audit: Auto-discovered via live global telemetry registry.

🛰️

#375. Mistral: Mistral Small 3.2 24B

P90: 280ms

Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compare

Audit: Auto-discovered via live global telemetry registry.

🛰️

#376. MiniMax: MiniMax M1

P90: 280ms

MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture pa

Audit: Auto-discovered via live global telemetry registry.

🛰️

#377. Google: Gemini 2.5 Flash

P90: 280ms

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinki

Audit: Auto-discovered via live global telemetry registry.

🛰️

#378. Google: Gemini 2.5 Flash (batch)

P90: 280ms

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinki

Audit: Auto-discovered via live global telemetry registry.

🛰️

#379. Google: Gemini 2.5 Pro

P90: 280ms

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to

Audit: Auto-discovered via live global telemetry registry.

🛰️

#380. Google: Gemini 2.5 Pro (batch)

P90: 280ms

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to

Audit: Auto-discovered via live global telemetry registry.

🛰️

#381. OpenAI: o3 Pro

P90: 280ms

The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and pro

Audit: Auto-discovered via live global telemetry registry.

🛰️

#382. Google: Gemini 2.5 Pro Preview 06-05

P90: 280ms

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to

Audit: Auto-discovered via live global telemetry registry.

🛰️

#383. DeepSeek: R1 0528

P90: 280ms

May 28th update to the [original DeepSeek R1](/deepseek/deepseek-r1) Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 67

Audit: Auto-discovered via live global telemetry registry.

🛰️

#384. Anthropic: Claude Sonnet 4

P90: 280ms

Claude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and reasoning tasks with improved precision and controllability. Ac

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🛰️

#385. Mistral: Mistral Medium 3

P90: 280ms

Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-

Audit: Auto-discovered via live global telemetry registry.

🛰️

#386. Meta: Llama Guard 4 12B

P90: 280ms

Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content

Audit: Auto-discovered via live global telemetry registry.

🛰️

#387. Qwen: Qwen3 30B A3B

P90: 280ms

Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, an

Audit: Auto-discovered via live global telemetry registry.

🛰️

#388. Qwen: Qwen3 14B

P90: 280ms

Qwen3-14B is a dense 14.8B parameter causal language model from the Qwen3 series, designed for both complex reasoning and efficient dialogue. It supports seamless switching between

Audit: Auto-discovered via live global telemetry registry.

🛰️

#389. Qwen: Qwen3 32B

P90: 280ms

Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching betwee

Audit: Auto-discovered via live global telemetry registry.

🛰️

#390. OpenAI: o4 Mini High

P90: 280ms

OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fa

Audit: Auto-discovered via live global telemetry registry.

🛰️

#391. OpenAI: o3

P90: 280ms

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instru

Audit: Auto-discovered via live global telemetry registry.

🛰️

#392. OpenAI: o3 (batch)

P90: 280ms

o3 is a well-rounded and powerful model across domains. It sets a new standard for math, science, coding, and visual reasoning tasks. It also excels at technical writing and instru

Audit: Auto-discovered via live global telemetry registry.

🛰️

#393. OpenAI: o4 Mini

P90: 280ms

OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports

Audit: Auto-discovered via live global telemetry registry.

🛰️

#394. OpenAI: o4 Mini (batch)

P90: 280ms

OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports

Audit: Auto-discovered via live global telemetry registry.

🛰️

#395. OpenAI: GPT-4.1

P90: 280ms

GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token

Audit: Auto-discovered via live global telemetry registry.

🛰️

#396. OpenAI: GPT-4.1 (batch)

P90: 280ms

GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token

Audit: Auto-discovered via live global telemetry registry.

🛰️

#397. OpenAI: GPT-4.1 Mini

P90: 280ms

GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#398. OpenAI: GPT-4.1 Mini (batch)

P90: 280ms

GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#399. OpenAI: GPT-4.1 Nano

P90: 280ms

For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...

Audit: Auto-discovered via live global telemetry registry.

🛰️

#400. OpenAI: GPT-4.1 Nano (batch)

P90: 280ms

For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...

Audit: Auto-discovered via live global telemetry registry.

🛰️

#401. Meta: Llama 4 Maverick

P90: 280ms

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active

Audit: Auto-discovered via live global telemetry registry.

🛰️

#402. Meta: Llama 4 Scout

P90: 280ms

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimo

Audit: Auto-discovered via live global telemetry registry.

🛰️

#403. DeepSeek: DeepSeek V3 0324

P90: 280ms

DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/d

Audit: Auto-discovered via live global telemetry registry.

🛰️

#404. OpenAI: o1-pro

P90: 280ms

The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and pr

Audit: Auto-discovered via live global telemetry registry.

🛰️

#405. Mistral: Mistral Small 3.1 24B

P90: 280ms

Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art

Audit: Auto-discovered via live global telemetry registry.

🛰️

#406. Google: Gemma 3 4B

P90: 280ms

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improv

Audit: Auto-discovered via live global telemetry registry.

🛰️

#407. Google: Gemma 3 12B

P90: 280ms

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improv

Audit: Auto-discovered via live global telemetry registry.

🛰️

#408. Cohere: Command A

P90: 280ms

Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance across agentic, multilingual, and coding use cases. Compared to

Audit: Auto-discovered via live global telemetry registry.

🛰️

#409. Reka Flash 3

P90: 280ms

Reka Flash 3 is a general-purpose, instruction-tuned large language model with 21 billion parameters, developed by Reka. It excels at general chat, coding tasks, instruction-follow

Audit: Auto-discovered via live global telemetry registry.

🛰️

#410. Google: Gemma 3 27B

P90: 280ms

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improv

Audit: Auto-discovered via live global telemetry registry.

🛰️

#411. TheDrummer: Skyfall 36B V2

P90: 280ms

Skyfall 36B v2 is an enhanced iteration of Mistral Small 2501, specifically fine-tuned for improved creativity, nuanced writing, role-playing, and coherent storytelling.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#412. Perplexity: Sonar Reasoning Pro

P90: 280ms

Note: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sona

Audit: Auto-discovered via live global telemetry registry.

🛰️

#413. Perplexity: Sonar Pro

P90: 280ms

Note: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sona

Audit: Auto-discovered via live global telemetry registry.

🛰️

#414. Perplexity: Sonar Deep Research

P90: 280ms

Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates so

Audit: Auto-discovered via live global telemetry registry.

🛰️

#415. Mistral: Saba

P90: 280ms

Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining e

Audit: Auto-discovered via live global telemetry registry.

🛰️

#416. OpenAI: o3 Mini High

P90: 280ms

OpenAI o3-mini-high is the same model as [o3-mini](/openai/o3-mini) with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks

Audit: Auto-discovered via live global telemetry registry.

🛰️

#417. AionLabs: Aion-RP 1.0 (8B)

P90: 280ms

Aion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-specific variant of Arena-Hard-Auto, where LLMs evaluate eac

Audit: Auto-discovered via live global telemetry registry.

🛰️

#418. Qwen: Qwen2.5 VL 72B Instruct

P90: 280ms

Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts

Audit: Auto-discovered via live global telemetry registry.

🛰️

#419. Qwen: Qwen-Plus

P90: 280ms

Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#420. OpenAI: o3 Mini

P90: 280ms

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning

Audit: Auto-discovered via live global telemetry registry.

🛰️

#421. OpenAI: o3 Mini (batch)

P90: 280ms

OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning

Audit: Auto-discovered via live global telemetry registry.

🛰️

#422. Mistral: Mistral Small 3

P90: 280ms

Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained

Audit: Auto-discovered via live global telemetry registry.

🛰️

#423. Perplexity: Sonar

P90: 280ms

Sonar is lightweight, affordable, fast, and simple to use — now featuring citations and the ability to customize sources. It is designed for companies seeking to integrate lightwei

Audit: Auto-discovered via live global telemetry registry.

🛰️

#424. DeepSeek: R1

P90: 280ms

DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inf

Audit: Auto-discovered via live global telemetry registry.

🛰️

#425. MiniMax: MiniMax-01

P90: 280ms

MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per in

Audit: Auto-discovered via live global telemetry registry.

🛰️

#426. Microsoft: Phi 4

P90: 280ms

[Microsoft Research](/microsoft) Phi-4 is designed to perform well in complex reasoning tasks and can operate efficiently in situations with limited memory or where quick responses

Audit: Auto-discovered via live global telemetry registry.

🛰️

#427. DeepSeek: DeepSeek V3

P90: 280ms

DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tok

Audit: Auto-discovered via live global telemetry registry.

🛰️

#428. Sao10K: Llama 3.3 Euryale 70B

P90: 280ms

Euryale L3.3 70B is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.2](/models/sao10k/l3-euryale-70b).

Audit: Auto-discovered via live global telemetry registry.

🛰️

#429. OpenAI: o1

P90: 280ms

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learn

Audit: Auto-discovered via live global telemetry registry.

🛰️

#430. Cohere: Command R7B (12-2024)

P90: 280ms

Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning

Audit: Auto-discovered via live global telemetry registry.

🛰️

#431. Meta: Llama 3.3 70B Instruct

P90: 280ms

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text on

Audit: Auto-discovered via live global telemetry registry.

🛰️

#432. Amazon: Nova Lite 1.0

P90: 280ms

Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. Amazon Nova Lite...

Audit: Auto-discovered via live global telemetry registry.

🛰️

#433. Amazon: Nova Micro 1.0

P90: 280ms

Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length...

Audit: Auto-discovered via live global telemetry registry.

🛰️

#434. Amazon: Nova Pro 1.0

P90: 280ms

Amazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and cost for a wide range of tasks. As of December...

Audit: Auto-discovered via live global telemetry registry.

🛰️

#435. OpenAI: GPT-4o (2024-11-20)

P90: 280ms

The 2024-11-20 version of GPT-4o offers a leveled-up creative writing ability with more natural, engaging, and tailored writing to improve relevance & readability. It’s also better

Audit: Auto-discovered via live global telemetry registry.

🛰️

#436. Mistral Large 2407

P90: 280ms

This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. R

Audit: Auto-discovered via live global telemetry registry.

🛰️

#437. Qwen2.5 Coder 32B Instruct

P90: 280ms

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Sig

Audit: Auto-discovered via live global telemetry registry.

🛰️

#438. TheDrummer: UnslopNemo 12B

P90: 280ms

UnslopNemo v4.1 is the latest addition from the creator of Rocinante, designed for adventure writing and role-play scenarios.

Audit: Auto-discovered via live global telemetry registry.

🛰️

#439. Magnum v4 72B

P90: 280ms

This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://o

Audit: Auto-discovered via live global telemetry registry.

🛰️

#440. Qwen: Qwen2.5 7B Instruct

P90: 280ms

Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabil

Audit: Auto-discovered via live global telemetry registry.

🛰️

#441. Meta: Llama 3.2 1B Instruct

P90: 280ms

Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its

Audit: Auto-discovered via live global telemetry registry.

🛰️

#442. Meta: Llama 3.2 3B Instruct

P90: 280ms

Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summariza

Audit: Auto-discovered via live global telemetry registry.

🛰️

#443. Qwen2.5 72B Instruct

P90: 280ms

Qwen2.5 72B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabi

Audit: Auto-discovered via live global telemetry registry.

🛰️

#444. Cohere: Command R (08-2024)

P90: 280ms

command-r-08-2024 is an update of the [Command R](/models/cohere/command-r) with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broad

Audit: Auto-discovered via live global telemetry registry.

🛰️

#445. Cohere: Command R+ (08-2024)

P90: 280ms

command-r-plus-08-2024 is an update of the [Command R+](/models/cohere/command-r-plus) with roughly 50% higher throughput and 25% lower latencies as compared to the previous Comman

Audit: Auto-discovered via live global telemetry registry.

🛰️

#446. Sao10K: Llama 3.1 Euryale 70B v2.2

P90: 280ms

Euryale L3.1 70B v2.2 is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.1](/models/sao10k/l3-euryale-70b).

Audit: Auto-discovered via live global telemetry registry.

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#447. Nous: Hermes 3 70B Instruct

P90: 280ms

Hermes 3 is a generalist language model with many improvements over [Hermes 2](/models/nousresearch/nous-hermes-2-mistral-7b-dpo), including advanced agentic capabilities, much bet

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#448. Nous: Hermes 3 405B Instruct

P90: 280ms

Hermes 3 is a generalist language model with many improvements over Hermes 2, including advanced agentic capabilities, much better roleplaying, reasoning, multi-turn conversation,

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#449. Sao10K: Llama 3 8B Lunaris

P90: 280ms

Lunaris 8B is a versatile generalist and roleplaying model based on Llama 3. It's a strategic merge of multiple models, designed to balance creativity with improved logic and gener

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🛰️

#450. OpenAI: GPT-4o (2024-08-06)

P90: 280ms

The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more [here](https://openai.

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#451. Meta: Llama 3.1 70B Instruct

P90: 280ms

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonst

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#452. Meta: Llama 3.1 8B Instruct

P90: 280ms

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance co

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#453. Mistral: Mistral Nemo

P90: 280ms

A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italia

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#454. OpenAI: GPT-4o-mini

P90: 280ms

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is m

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#455. OpenAI: GPT-4o-mini (2024-07-18)

P90: 280ms

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is m

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🛰️

#456. OpenAI: GPT-4o-mini (batch)

P90: 280ms

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is m

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🛰️

#457. Google: Gemma 2 27B

P90: 280ms

Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety

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#458. OpenAI: GPT-4o

P90: 280ms

GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gp

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🛰️

#459. OpenAI: GPT-4o (2024-05-13)

P90: 280ms

GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gp

Audit: Auto-discovered via live global telemetry registry.

🛰️

#460. OpenAI: GPT-4o (batch)

P90: 280ms

GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gp

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🛰️

#461. Mistral: Mixtral 8x22B Instruct

P90: 280ms

Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency

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#462. WizardLM-2 8x22B

P90: 280ms

WizardLM-2 8x22B is Microsoft AI's most advanced Wizard model. It demonstrates highly competitive performance compared to leading proprietary models, and it consistently outperform

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#463. OpenAI: GPT-4 Turbo

P90: 280ms

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.

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#464. OpenAI: GPT-4 Turbo (batch)

P90: 280ms

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.

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#465. Mistral Large

P90: 280ms

This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more.

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#466. OpenAI: GPT-3.5 Turbo (older v0613)

P90: 280ms

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to S

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#467. OpenAI: GPT-3.5 Turbo Instruct

P90: 280ms

This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.

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#468. OpenAI: GPT-3.5 Turbo 16k

P90: 280ms

This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up...

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#469. Mancer: Weaver (alpha)

P90: 280ms

An attempt to recreate Claude-style verbosity, but don't expect the same level of coherence or memory. Meant for use in roleplay/narrative situations.

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#470. ReMM SLERP 13B

P90: 280ms

A recreation trial of the original MythoMax-L2-B13 but with updated models. #merge

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#471. MythoMax 13B

P90: 280ms

One of the highest performing and most popular fine-tunes of Llama 2 13B, with rich descriptions and roleplay. #merge

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#472. OpenAI: GPT-3.5 Turbo

P90: 280ms

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to S

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#473. OpenAI: GPT-3.5 Turbo (batch)

P90: 280ms

GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to S

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🛰️

#474. OpenAI: GPT-4

P90: 280ms

OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader genera

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