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Mistral Small 3.2 24BOPEN
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.
Prices update automatically — checked daily against provider list prices.
- $0.11 per 1M tokens, assuming 3 input for 1 output the convention used by Artificial Analysis
- cheaper than 77% of the 191 open-weight models tracked here
- 4 of 19 Mistral AI models tracked here, from cheapest
Benchmarks & performance
Independent benchmark scores for Mistral Small 3.2 24B, measured by Artificial Analysis. Higher is better.
For the same budget, Mistral Small 3.2 24B delivers 11 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Models at this level cost $0.37 per 1M tokens (median of 24) — this one costs $0.11.
Cheaper and better on this index: DeepSeek V4 Flash 0731 · DeepSeek V4 Flash 0423 · Solar Pro 4 and 5 more
About this model
Mistral Small 3.2 24B is an open-weight AI model by Mistral AI. You can download and self-host it for free; the prices below are hosted-API list prices, tracked daily, for when you prefer convenience over self-hosting.
Frequently asked questions
What is Mistral Small 3.2 24B?
Mistral Small 3.2 24B is an AI language model from Mistral AI. It is open-weight: you can download it and run it on your own hardware, for free. It scores 10.7 on the Artificial Analysis intelligence index.
Is Mistral Small 3.2 24B free?
The weights are free and open — you can self-host Mistral Small 3.2 24B and pay nothing per token. If you prefer a hosted API, list prices are $0.08 per million input tokens and $0.2 per million output tokens.
What is Mistral Small 3.2 24B good at?
Independent benchmarks from Artificial Analysis give it GPQA 50.5%, MMLU-Pro 68.1%, Humanity's Last Exam 4.3%, Long Context Reasoning 18.7%, LiveCodeBench 27.5%, SciCode 26.4%, MATH-500 88.3%, AIME 32.3%, AIME 2025 27%, IFBench 33.5%, τ²-Bench 29.5%, τ-Bench Banking 6.2%, Terminal-Bench 5.6%, Terminal-Bench Hard 6.8%. It is particularly used for code generation.
Can I self-host Mistral Small 3.2 24B?
Yes. Mistral Small 3.2 24B has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.