Mistral Medium 3
mistral-medium-3Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost... Built by Mistral AI.
Prices updated
Input price
$0.40
per 1M tokens · Standard
Output price
$2.00
per 1M tokens · Standard
Input limit
131K
tokens
Output limit
105K
tokens
Input formats
Output formats
Mistral Medium 3 price history
2 price records since 9/25/2026
Mistral Medium 3 cost calculator
$18/month
Standard pricing
Overview
What is Mistral Medium 3?
Mistral Medium 3 is a text & reasoning and vision model from Mistral AI. Mistral Medium 3 is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances state-of-the-art reasoning and multimodal performance with 8× lower cost... Its 131K context window and $0.40 input price make it a candidate for quality-focused production applications.
Benchmarks
Mistral Medium 3 benchmarks & speed
How Mistral Medium 3 scores on standardized evaluations, and where it lands among every model we track.
9.0
Intelligence Index
Reasoning
GPQA Diamond
57.8%
Graduate-level scientific reasoning · top 81%
HLE
4.0%
Humanity's Last Exam · top 90%
Independent scores from Artificial Analysis and DesignArena · updated 10/5/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Mistral Medium 3 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.40
Per 1M tokens
Cached input · Standard
$0.04
Per 1M tokens
Capabilities
Mistral Medium 3 Tools
Tools available when using Mistral Medium 3 through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Not supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 9) position it for demanding production work.
- A 131K context window covers most focused application workflows.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 5× more than input tokens, which matters for verbose responses.
- The 131K context window is smaller than several long-context alternatives.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider