Mistral Large vs Mistral: Mistral Medium 3.5: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Mistral Large (mistralai/mistral-large) vs Mistral: Mistral Medium 3.5 (mistralai/mistral-medium-3-5). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Mistral Large (mistralai/mistral-large) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral Large: Activate ephemeral prefix caching to slash input costs by 50% (down to $1/1M) or route via asynchronous Batch API for 50% off standard token rates.
Mistral: Mistral Medium 3.5 (mistralai/mistral-medium-3-5) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Mistral Medium 3.5: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.75/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Mistral Large (API ID: mistralai/mistral-large) vs Mistral: Mistral Medium 3.5 (API ID: mistralai/mistral-medium-3-5), Mistral: Mistral Medium 3.5 offers lower standard input pricing at $1.5/1M tokens ($7.5/1M output), while Mistral: Mistral Medium 3.5 leads in cached prefix economics at $0.75/1M tokens (50% discount). Mistral Large 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 Large | Mistral: Mistral Medium 3.5 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | mistralai/mistral-large | mistralai/mistral-medium-3-5 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2 / $6 | $1.5 / $7.5 | Mistral: Mistral Medium 3.5 |
| Cache Read Price (per 1M) | $1/1M (50% Off) | $0.75/1M (50% Off) | Mistral: Mistral Medium 3.5 |
| Context Window / Max Output | 125K In / 100K Out | 256K In / 205K Out | Mistral: Mistral Medium 3.5 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Mistral Large (-0ms) |
This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more.
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 Mistral Large to Mistral: Mistral Medium 3.5
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.