Mistral: Mistral Small 3.1 24B vs OpenAI: GPT-4.1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Mistral: Mistral Small 3.1 24B (mistralai/mistral-small-3.1-24b-instruct) vs OpenAI: GPT-4.1 (openai/gpt-4.1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Mistral: Mistral Small 3.1 24B (mistralai/mistral-small-3.1-24b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Mistral Small 3.1 24B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.1755/1M) or route via asynchronous Batch API for 50% off standard token rates.
OpenAI: GPT-4.1 (openai/gpt-4.1) 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 Mistral: Mistral Small 3.1 24B (API ID: mistralai/mistral-small-3.1-24b-instruct) vs OpenAI: GPT-4.1 (API ID: openai/gpt-4.1), Mistral: Mistral Small 3.1 24B offers lower standard input pricing at $0.351/1M tokens ($0.555/1M output), while Mistral: Mistral Small 3.1 24B leads in cached prefix economics at $0.1755/1M tokens (50% discount). Mistral: Mistral Small 3.1 24B 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 | Mistral: Mistral Small 3.1 24B | OpenAI: GPT-4.1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | mistralai/mistral-small-3.1-24b-instruct | openai/gpt-4.1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.351 / $0.555 | $2 / $8 | Mistral: Mistral Small 3.1 24B |
| Cache Read Price (per 1M) | $0.1755/1M (50% Off) | $1/1M (50% Off) | Mistral: Mistral Small 3.1 24B |
| Context Window / Max Output | 125K In / 100K Out | 1023K In / 32K Out | Mistral: Mistral Small 3.1 24B |
| P90 First-Token / Edge Latency | 280ms | 280ms | Mistral: Mistral Small 3.1 24B (-0ms) |
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
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
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 Mistral: Mistral Small 3.1 24B to OpenAI: GPT-4.1
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 Verified P90 latency of 280ms.