Mistral Medium 3
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 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 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.
mistralai/mistral-medium-3
- Context
- 131k tokens
- Completion cap
- —
- Tools
- Yes
- JSON
- Yes
- Released
- 2025-05-07
Call it from Geek Hub
Same OpenAI SDK. Change the base URL and the model id.
curl https://api.geekhub.mx/v1/chat/completions \
-H "Authorization: Bearer $GEEKHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mistralai/mistral-medium-3",
"messages": [{"role": "user", "content": "Hola"}]
}'Get an API keyFrequently asked questions
- What is Mistral Medium 3?
- 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 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 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. Mistral Medium 3 runs on the Geek Hub API (OpenAI-compatible). Model id: mistralai/mistral-medium-3.
- Is Mistral Medium 3 free?
- No. Input is $0.436 per 1M tokens and output is $2.1801 per 1M tokens on Geek Hub (markup included).
- What is the context length of Mistral Medium 3?
- Mistral Medium 3 has a 131k tokens context window.
- Does Mistral Medium 3 support tool calling and structured outputs?
- Mistral Medium 3 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
- When was Mistral Medium 3 released?
- Mistral Medium 3 was released on 2025-05-07.
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