Mistral Medium 3

Mistral Medium 3

mistralai/mistral-medium-3-instruct70B
Quality Index: 86

Mistral Medium

Performance Benchmarks

Reasoning (Math)
84/100
Coding
80/100
Quality Index
86

Example Prompts

Mistral style: concise reasoning
Explain the tradeoffs between SSE and WebSockets for streaming LLM outputs in a Next.js app. Keep it practical and include a recommendation.
General assistant
You are a helpful assistant. Answer clearly, concisely, and ask clarifying questions when needed.
Code review
Review this code for correctness, security, and performance. Provide prioritized fixes with explanations and patches.
Structured output
Return JSON with keys: summary, risks (array), recommendations (array). Do not include extra keys.

Pricing

Input$1 / 1M
Output$3 / 1M
Blended average (3:1)
$1.50 / 1M tokens

Technical Specs

Parameters70B
Context Window32,000
LicenseProprietary
Released2024-02-26