Mistral Small 3.2 24B
Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on WildBench and Arena Hard, reduces infinite generations, and delivers gains in tool use and structured output tasks. It supports image and text inputs with structured outputs, function/tool calling, and strong performance across coding (HumanEval+, MBPP), STEM (MMLU, MATH, GPQA), and vision benchmarks (ChartQA, DocVQA).
mistralai/mistral-small-3.2-24b-instruct
- Context
- 131k tokens
- Completion cap
- 16,384
- Tools
- Yes
- JSON
- Yes
- Released
- 2025-06-20
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-small-3.2-24b-instruct",
"messages": [{"role": "user", "content": "Hola"}]
}'Frequently asked questions
- What is Mistral Small 3.2 24B?
- Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on WildBench and Arena Hard, reduces infinite generations, and delivers gains in tool use and structured output tasks. It supports image and text inputs with structured outputs, function/tool calling, and strong performance across coding (HumanEval+, MBPP), STEM (MMLU, MATH, GPQA), and vision benchmarks (ChartQA, DocVQA). Mistral Small 3.2 24B runs on the Geek Hub API (OpenAI-compatible). Model id: mistralai/mistral-small-3.2-24b-instruct.
- Is Mistral Small 3.2 24B free?
- No. Input is $0.0818 per 1M tokens and output is $0.218 per 1M tokens on Geek Hub (markup included).
- What is the context length of Mistral Small 3.2 24B?
- Mistral Small 3.2 24B has a 131k tokens context window. It supports up to 16,384 completion tokens.
- Does Mistral Small 3.2 24B support tool calling and structured outputs?
- Mistral Small 3.2 24B accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
- When was Mistral Small 3.2 24B released?
- Mistral Small 3.2 24B was released on 2025-06-20.
More models from Mistral
- Codestral 2508Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correc
- Ministral 3 14B 2512The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and
- Ministral 3 3B 2512The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.
- Ministral 3 8B 2512A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
- Ministral 8BMinistral 8B is an 8B parameter model featuring a unique interleaved sliding-window attention pattern for faster, memory-efficient inference. Designed for edge use cases, it suppor
- Mistral LargeThis is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more.