Qwen: Qwen3.5 Plus 2026-02-15 vs OpenAI: GPT-4o-mini (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Qwen: Qwen3.5 Plus 2026-02-15 (qwen/qwen3.5-plus-02-15) vs OpenAI: GPT-4o-mini (batch) (openai/gpt-4o-mini:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Qwen: Qwen3.5 Plus 2026-02-15 (qwen/qwen3.5-plus-02-15) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3.5 Plus 2026-02-15: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.13/1M) or route via asynchronous Batch API for 50% off standard token rates.
OpenAI: GPT-4o-mini (batch) (openai/gpt-4o-mini:batch) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 75% automatic prefix caching ($0.50/1M), 50% off 24-hour Batch API completions ($1/$5), and up to $150,000 in OpenAI/Azure Foundry credits via Microsoft for Startups Founders Hub (no VC funding required for initial tiers).
In Etuki October 2026 FinOps telemetry comparing Qwen: Qwen3.5 Plus 2026-02-15 (API ID: qwen/qwen3.5-plus-02-15) vs OpenAI: GPT-4o-mini (batch) (API ID: openai/gpt-4o-mini:batch), OpenAI: GPT-4o-mini (batch) offers lower standard input pricing at $0.075/1M tokens ($0.3/1M output), while OpenAI: GPT-4o-mini (batch) leads in cached prefix economics at $0.0375/1M tokens (50% discount). Qwen: Qwen3.5 Plus 2026-02-15 achieves a 0ms faster P90 time-to-first-token latency (280ms vs 280ms).
Auto-discovered via live global telemetry registry.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | Qwen: Qwen3.5 Plus 2026-02-15 | OpenAI: GPT-4o-mini (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | qwen/qwen3.5-plus-02-15 | openai/gpt-4o-mini:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.26 / $1.56 | $0.075 / $0.3 | OpenAI: GPT-4o-mini (batch) |
| Cache Read Price (per 1M) | $0.13/1M (50% Off) | $0.0375/1M (50% Off) | OpenAI: GPT-4o-mini (batch) |
| Context Window / Max Output | 977K In / 64K Out | 125K In / 16K Out | Qwen: Qwen3.5 Plus 2026-02-15 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Qwen: Qwen3.5 Plus 2026-02-15 (-0ms) |
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
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
Real-Time Stack Cost & Hidden-Fee Simulator (MAU / Token / Egress / GMV)
Calibrated with Reddit r/FinOps & r/devops telemetry: Includes Context Caching, Bandwidth Egress, and MoR Tax
🛰️Switch from Qwen: Qwen3.5 Plus 2026-02-15 to OpenAI: GPT-4o-mini (batch)
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 Verified P90 latency of 280ms.