M
Mistral Small 3.2 24BOPEN
Mistral Small 3.2 24B (Mistral AI): live API pricing, context window and the best open-source alternatives, tracked daily by OpenSourceAI.tech.
Prices update automatically — checked hourly against provider list prices.
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 12 times more capability. Open weights also mean you can self-host it and pay nothing per token.
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 hourly, 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 10.6 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 $0.1 per million input tokens and $0.3 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 17.3%, 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%, 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.
Open-source alternatives
Depending on your workload, an open-weight model that you can self-host may cut costs dramatically or remove per-token pricing entirely. Our comparison pages put this model side by side with the strongest open-source contenders.