token.app › Mistral AI › Mistral Medium 3.5
Mistral Medium 3.5 pricing & benchmarks
Mistral Medium 3.5 is available from Mistral AI at $1.50 per million input tokens and $7.50 per million output tokens ($3.00 blended at 3:1). It accepts up to 262,144 tokens of context. 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, and complex...
Pricing
Per million tokens · OpenRouter
Input$1.50
Output$7.50
Blended (3:1)$3.00
Specification
mistralai/mistral-medium-3-5
Context window262K
Max output210K
ReleasedApr 2026
LicenceProprietary
Modalitiesin:text, in:image, in:file, out:text
No independently-run benchmark scores are published for Mistral Medium 3.5 yet. We show nothing rather than reprinting an unverified figure.
Where to run Mistral Medium 3.5
3 options across 1 provider · 1.1× between cheapest and dearest. Blended at 3:1. ⚠ marks an option serving less context than the best available, or re-pricing above a prompt-length threshold. Bracketed labels are the provider's own service tier or region.
| Host | Blended $/1M | In / Out | Context | Uptime 24h |
|---|---|---|---|---|
| Mistral (zdr) | $3.00 | $1.50 / $7.50 | 262K | 100.0% |
| Mistral | $3.00 | $1.50 / $7.50 | 262K | 100.0% |
| Mistral (eu) | $3.30 | $1.65 / $8.25 | 262K | 100.0% |
Host prices and uptime from OpenRouter, synced 2026-10-22.
Compare Mistral Medium 3.5
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Mistral Medium 3.5 vs Grok 4.6
Mistral Medium 3.5 vs DeepSeek V4 Flash 0731
Mistral Medium 3.5 vs Inkling Small
Mistral Medium 3.5 vs Qwen3.7 Flash
Mistral Medium 3.5 vs Claude Opus 5
Mistral Medium 3.5 vs Gemini 3.6 Flash
Mistral Medium 3.5 vs Gemini 3.5 Flash Lite
FAQ
How much does Mistral Medium 3.5 cost?
Mistral Medium 3.5 costs $1.50 per million input tokens and $7.50 per million output tokens on OpenRouter. At a 3:1 input:output mix that blends to $3.00 per million tokens.
What is Mistral Medium 3.5's context window?
Mistral Medium 3.5 accepts up to 262,144 tokens of context, and can generate up to 209,715 output tokens.