Mistral AI

MMistral Small 3.1 24BOPEN

Mistral Small 3.1 24B (Mistral AI): live API pricing, context window and the best open-source alternatives, tracked daily by olud.ai.

Context window
128K
tokens
Input price
$0.35
per M tokens
Output price
$0.55
per M tokens
Provider
Mistral AI

Prices update automatically — checked hourly against provider list prices.

See model comparisons → Compare all model prices

Benchmarks & performance

Independent benchmark scores for Mistral Small 3.1 24B, measured by Artificial Analysis. Higher is better.

16×
More intelligence per dollar than Claude Opus 5 (Fast).
For the same budget, Mistral Small 3.1 24B delivers 16 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Intelligence index14.7
Coding index26.3
Math index3.7
GPQA45.4%
MMLU-Pro65.9%
Humanity's Last Exam4.8%
Long Context Reasoning19.7%
LiveCodeBench21.2%
SciCode26.5%
MATH-50070.7%
AIME9.3%
AIME 20253.7%
IFBench29.9%
τ²-Bench25.1%
τ-Bench Banking7%
Terminal-Bench26.2%
Terminal-Bench Hard7.6%
💰 Blended price$0.15 / 1M tokens
📈 Value98 intelligence points per $
Benchmark data by Artificial Analysis

About this model

Mistral Small 3.1 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 3.1 24B?

Mistral Small 3.1 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 14.7 on the Artificial Analysis intelligence index.

Is Mistral Small 3.1 24B free?

The weights are free and open — you can self-host Mistral Small 3.1 24B and pay nothing per token. If you prefer a hosted API, list prices are $0.35 per million input tokens and $0.55 per million output tokens.

What is Mistral Small 3.1 24B good at?

Independent benchmarks from Artificial Analysis give it GPQA 45.4%, MMLU-Pro 65.9%, Humanity's Last Exam 4.8%, Long Context Reasoning 19.7%, LiveCodeBench 21.2%, SciCode 26.5%, MATH-500 70.7%, AIME 9.3%, AIME 2025 3.7%, IFBench 29.9%, τ²-Bench 25.1%, τ-Bench Banking 7%, Terminal-Bench 26.2%, Terminal-Bench Hard 7.6%. It is particularly used for code generation.

Can I self-host Mistral Small 3.1 24B?

Yes. Mistral Small 3.1 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.

Related models

Mistral Medium 3.5Mistral AIMistral LargeMistral AIMistral Large 2407Mistral AIMistral Medium 3.1Mistral AIMistral Medium 3Mistral AIMistral Large 3 2512Mistral AI