Intelligence index
Outperforms 24% of compared models
Mistral Medium 3.1
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 state-of-the-art reasoning and multimodal performance with 8× lower cost compared to traditional large models, making it suitable for scalable deployments across professional and industrial use cases.
The model excels in domains such as coding, STEM reasoning, and enterprise adaptation. It supports hybrid, on-prem, and in-VPC deployments and is optimized for integration into custom workflows. Mistral Medium 3.1 offers competitive accuracy relative to larger models like Claude Sonnet 3.5/3.7, Llama 4 Maverick, and Command R+, while maintaining broad compatibility across cloud environments.
- Input / output price
- $0.4/$2per 1M tokens
- Context
- 131K
- Released
- 2025-08-13
Pricing
Artificial Analysis
Explore rankingsCoding index
Outperforms 20% of compared models
Agentic index
Outperforms 29% of compared models
Design Arena
Elo scores and win rates across design and agent tasks.
Category performance
1,000-1,500 EloModel Arena
Asciiart
995Elo
Win rate 30.8%
Data Visualization
1144Elo
Win rate 47.2%
SVG
989Elo
Win rate 38.2%
3D
1078Elo
Win rate 44.6%
UI Component
1094Elo
Win rate 43.6%
Code Categories
1118Elo
Win rate 45.1%
Website
1131Elo
Win rate 46%
Game Development
1074Elo
Win rate 40.8%
Related Models
Mistral Large 4
mistralaiMistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up to 256K output tokens, and supports tool calling and structured outputs.
- Context
- 1.0M
- Max output
- 262.1K
- Released
- 2026-10-06
- Input
- $1.36/M
- Output
- $4.18/M
- Cache read
- $0.14/M
Mistral Medium 3.5
mistralaiMistral 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 multi-step reasoning. It is particularly strong at reliable multi-tool calling and long-horizon tasks, with a 256K context window, configurable reasoning effort per request, and a custom vision encoder that handles variable image sizes and aspect ratios. Self-hostable on as few as four GPUs and available under open weights.
- Context
- 262K
- Max output
- 209.7K
- Released
- 2026-04-30
- Input
- $1.5/M
- Output
- $7.5/M
- Cache read
- N/A
Mistral Small 4
mistralaiMistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from Magistral, multimodal understanding from Pixtral, and agentic coding capabilities from Devstral, enabling one model to handle complex analysis, software development, and visual tasks within the same workflow.
- Context
- 262K
- Max output
- 209.7K
- Released
- 2026-03-16
- Input
- $0.15/M
- Output
- $0.6/M
- Cache read
- $0.015/M