Mistral Medium 3.1
mistral-medium-3.1Mistral 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 significantly reduced operational cost. It balances... 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 3.1 price history
2 price records since 9/25/2026
Mistral Medium 3.1 cost calculator
$18/month
Standard pricing
Overview
What is Mistral Medium 3.1?
Mistral Medium 3.1 is a text & reasoning and vision model from Mistral AI. 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 significantly reduced operational cost. It balances... Its 131K context window and $0.40 input price make it a candidate for quality-focused production applications.
Benchmarks
Mistral Medium 3.1 benchmarks & speed
How Mistral Medium 3.1 scores on standardized evaluations, and where it lands among every model we track.
9.2
Intelligence Index
Reasoning
GPQA Diamond
58.8%
Graduate-level scientific reasoning · top 78%
HLE
4.7%
Humanity's Last Exam · top 83%
Coding
SciCode
32.4%
Python for scientific computing · top 92%
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 3.1 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 3.1 Tools
Tools available when using Mistral Medium 3.1 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 9.2) 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