Mistral Large 3 2512 (batch)
Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.
mistralai/mistral-large-2512:batch
- Context
- 262k tokens
- Completion cap
- 209,715
- Tools
- Yes
- JSON
- Yes
- Released
- 2025-12-01
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-large-2512:batch",
"messages": [{"role": "user", "content": "Hola"}]
}'Get an API keyFrequently asked questions
- What is Mistral Large 3 2512 (batch)?
- Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license. Mistral Large 3 2512 (batch) runs on the Geek Hub API (OpenAI-compatible). Model id: mistralai/mistral-large-2512:batch.
- Is Mistral Large 3 2512 (batch) free?
- No. Input is $0.545 per 1M tokens and output is $1.6351 per 1M tokens on Geek Hub (markup included).
- What is the context length of Mistral Large 3 2512 (batch)?
- Mistral Large 3 2512 (batch) has a 262k tokens context window. It supports up to 209,715 completion tokens.
- Does Mistral Large 3 2512 (batch) support tool calling and structured outputs?
- Mistral Large 3 2512 (batch) accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
- When was Mistral Large 3 2512 (batch) released?
- Mistral Large 3 2512 (batch) was released on 2025-12-01.
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