OpenAI: GPT-4 vs Mistral: Mistral Medium 3.1 (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-4 (openai/gpt-4) vs Mistral: Mistral Medium 3.1 (batch) (mistralai/mistral-medium-3.1:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-4 (openai/gpt-4) 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 3.1 (batch) (mistralai/mistral-medium-3.1:batch) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Mistral Medium 3.1 (batch): Activate ephemeral prefix caching to slash input costs by 50% (down to $0.1/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: GPT-4 (API ID: openai/gpt-4) vs Mistral: Mistral Medium 3.1 (batch) (API ID: mistralai/mistral-medium-3.1:batch), Mistral: Mistral Medium 3.1 (batch) offers lower standard input pricing at $0.2/1M tokens ($1/1M output), while Mistral: Mistral Medium 3.1 (batch) leads in cached prefix economics at $0.1/1M tokens (50% discount). OpenAI: GPT-4 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-4 | Mistral: Mistral Medium 3.1 (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-4 | mistralai/mistral-medium-3.1:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $30 / $60 | $0.2 / $1 | Mistral: Mistral Medium 3.1 (batch) |
| Cache Read Price (per 1M) | $15/1M (50% Off) | $0.1/1M (50% Off) | Mistral: Mistral Medium 3.1 (batch) |
| Context Window / Max Output | 8K In / 4K Out | 128K In / 102K Out | Mistral: Mistral Medium 3.1 (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-4 (-0ms) |
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
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
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-4 to Mistral: Mistral Medium 3.1 (batch)
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 Verified P90 latency of 280ms.