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 1252.70 score on Creative Writing.
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 |
“—” means the modality is not billed in that direction, or the vendor has not published a price for it.
Benchmark Results
Mistral-Small-3.2 currently shows benchmark results led by MMLU (53 / 124, score 80.50), MATH (20 / 42, score 69.42), GPQA (11 / 16, score 44.22). 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
3 evaluationsWriting and Creative Capabilities
1 evaluationsPublisher
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 1252.70 score on Creative Writing.
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