Mistral: Mistral Small 3.2 24B

mistralai/mistral-small-3.2-24b-instruct

Created Jun 20, 2025131,072 context

$0.06/M input tokens$0.18/M output tokens

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).

Providers for Mistral Small 3.2 24B

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Mistral Small 3.2 24B

Compare different providers across OpenRouter

Apps using Mistral Small 3.2 24B

Top public apps this month

Recent activity on Mistral Small 3.2 24B

Total usage per day on OpenRouter

Prompt

53.7M

Completion

8.49M

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Mistral Small 3.2 24B

Uptime stats for Mistral Small 3.2 24B across all providers

Sample code and API for Mistral Small 3.2 24B

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible completion API to 400+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.