OpenAI: GPT-5.1-Codex vs Mistral: Mistral Medium 3.5 (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-5.1-Codex (openai/gpt-5.1-codex) vs Mistral: Mistral Medium 3.5 (batch) (mistralai/mistral-medium-3-5:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-5.1-Codex (openai/gpt-5.1-codex) 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).
Mistral: Mistral Medium 3.5 (batch) (mistralai/mistral-medium-3-5:batch) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Mistral Medium 3.5 (batch): Activate ephemeral prefix caching to slash input costs by 50% (down to $0.375/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: GPT-5.1-Codex (API ID: openai/gpt-5.1-codex) vs Mistral: Mistral Medium 3.5 (batch) (API ID: mistralai/mistral-medium-3-5:batch), Mistral: Mistral Medium 3.5 (batch) offers lower standard input pricing at $0.75/1M tokens ($3.75/1M output), while Mistral: Mistral Medium 3.5 (batch) leads in cached prefix economics at $0.375/1M tokens (50% discount). OpenAI: GPT-5.1-Codex 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 | Mistral: Mistral Medium 3.5 (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-5.1-codex | mistralai/mistral-medium-3-5:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1.25 / $10 | $0.75 / $3.75 | Mistral: Mistral Medium 3.5 (batch) |
| Cache Read Price (per 1M) | $0.625/1M (50% Off) | $0.375/1M (50% Off) | Mistral: Mistral Medium 3.5 (batch) |
| Context Window / Max Output | 391K In / 125K Out | 256K In / 205K Out | Mistral: Mistral Medium 3.5 (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-5.1-Codex (-0ms) |
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
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
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 to Mistral: Mistral Medium 3.5 (batch)
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 Verified P90 latency of 280ms.