Mistral-Small-3.2
Chat modelMistral-Small-3.2-24B-Instruct-2506
Mistral-Small-3.2-24B-Instruct-2506 is an AI model published by MistralAI, released on 2025-06-20, for Chat model, with 24B parameters, and 128K context length, requiring about 47.04 GB storage, with a 80.50 score on MMLU.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Model basics
Open source & experience
Official resources
API details
| Type | Condition | Input | Output |
|---|---|---|---|
| Text | - | $0.075/ 1M | $0.200/ 1M |
Benchmark Results
Mistral-Small-3.2 currently shows benchmark results led by MATH (20 / 42, score 69.42), GPQA (10 / 15, score 44.22), MMLU Pro (97 / 132, score 69.06). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
General Knowledge
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Publisher
Model Overview
Mistral-Small-3.2-24B-Instruct-2506 is an AI model published by MistralAI, released on 2025-06-20, for Chat model, with 24B parameters, and 128K context length, requiring about 47.04 GB storage, with a 80.50 score on MMLU.
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