OpenAI: GPT-5.1-Codex-Max vs Qwen: Qwen2.5 7B Instruct: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-5.1-Codex-Max (openai/gpt-5.1-codex-max) vs Qwen: Qwen2.5 7B Instruct (qwen/qwen-2.5-7b-instruct). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-5.1-Codex-Max (openai/gpt-5.1-codex-max) 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).
Qwen: Qwen2.5 7B Instruct (qwen/qwen-2.5-7b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen2.5 7B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.05/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: GPT-5.1-Codex-Max (API ID: openai/gpt-5.1-codex-max) vs Qwen: Qwen2.5 7B Instruct (API ID: qwen/qwen-2.5-7b-instruct), Qwen: Qwen2.5 7B Instruct offers lower standard input pricing at $0.1/1M tokens ($0.2/1M output), while Qwen: Qwen2.5 7B Instruct leads in cached prefix economics at $0.05/1M tokens (50% discount). OpenAI: GPT-5.1-Codex-Max 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 | OpenAI: GPT-5.1-Codex-Max | Qwen: Qwen2.5 7B Instruct | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-5.1-codex-max | qwen/qwen-2.5-7b-instruct | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1.25 / $10 | $0.1 / $0.2 | Qwen: Qwen2.5 7B Instruct |
| Cache Read Price (per 1M) | $0.625/1M (50% Off) | $0.05/1M (50% Off) | Qwen: Qwen2.5 7B Instruct |
| Context Window / Max Output | 391K In / 125K Out | 32K In / 29K Out | OpenAI: GPT-5.1-Codex-Max |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-5.1-Codex-Max (-0ms) |
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
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
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 OpenAI: GPT-5.1-Codex-Max to Qwen: Qwen2.5 7B Instruct
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 Verified P90 latency of 280ms.