Mistral: Mistral Medium 3.1 (batch) vs OpenAI: GPT-5.6 Luna: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Mistral: Mistral Medium 3.1 (batch) (mistralai/mistral-medium-3.1:batch) vs OpenAI: GPT-5.6 Luna (openai/gpt-5.6-luna). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
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.
OpenAI: GPT-5.6 Luna (openai/gpt-5.6-luna) 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 Medium 3.1 (batch) (API ID: mistralai/mistral-medium-3.1:batch) vs OpenAI: GPT-5.6 Luna (API ID: openai/gpt-5.6-luna), 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). Mistral: Mistral Medium 3.1 (batch) 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 Medium 3.1 (batch) | OpenAI: GPT-5.6 Luna | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | mistralai/mistral-medium-3.1:batch | openai/gpt-5.6-luna | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.2 / $1 | $0.2 / $1.2 | Mistral: Mistral Medium 3.1 (batch) |
| Cache Read Price (per 1M) | $0.1/1M (50% Off) | $0.1/1M (50% Off) | Mistral: Mistral Medium 3.1 (batch) |
| Context Window / Max Output | 128K In / 102K Out | 1025K In / 125K Out | OpenAI: GPT-5.6 Luna |
| P90 First-Token / Edge Latency | 280ms | 280ms | Mistral: Mistral Medium 3.1 (batch) (-0ms) |
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
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic
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 Medium 3.1 (batch) to OpenAI: GPT-5.6 Luna
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic Verified P90 latency of 280ms.