Mistral Medium 3.5 (batch)
Mistral 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.
mistralai/mistral-medium-3-5:batch
- Context
- 262k tokens
- Completion cap
- 209,715
- Tools
- Yes
- JSON
- Yes
- Released
- 2026-04-30
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-3-5:batch",
"messages": [{"role": "user", "content": "Hola"}]
}'Frequently asked questions
- What is Mistral Medium 3.5 (batch)?
- Mistral 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. Mistral Medium 3.5 (batch) runs on the Geek Hub API (OpenAI-compatible). Model id: mistralai/mistral-medium-3-5:batch.
- Is Mistral Medium 3.5 (batch) free?
- No. Input is $0.8175 per 1M tokens and output is $4.0877 per 1M tokens on Geek Hub (markup included).
- What is the context length of Mistral Medium 3.5 (batch)?
- Mistral Medium 3.5 (batch) has a 262k tokens context window. It supports up to 209,715 completion tokens.
- Does Mistral Medium 3.5 (batch) support tool calling and structured outputs?
- Mistral Medium 3.5 (batch) accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
- When was Mistral Medium 3.5 (batch) released?
- Mistral Medium 3.5 (batch) was released on 2026-04-30.
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