Mistral AI

MMistral Large 3 2512OPEN

Mistral Large 3 2512 (Mistral AI): live API pricing, context window and the best open-source alternatives, tracked daily by OpenSourceAI.tech.

Context window
262K
tokens
Input price
$0.5
per M tokens
Output price
$1.5
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 Large 3 2512, measured by Artificial Analysis. Higher is better.

3.5×
More intelligence per dollar than Claude Opus 5.
For the same budget, Mistral Large 3 2512 delivers 3.5 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Intelligence index15.9
Coding index20.1
Math index38
GPQA68%
MMLU-Pro80.7%
Humanity's Last Exam4.1%
Long Context Reasoning34.7%
LiveCodeBench46.5%
SciCode36.2%
AIME 202538%
IFBench36.2%
τ²-Bench24.6%
τ-Bench Banking5.8%
Terminal-Bench12%
Terminal-Bench Hard15.9%
⚡ Speed60.6 tokens/sec
⏱ Latency1.07s to first token
💰 Blended price$0.75 / 1M tokens
📈 Value21.2 intelligence points per $
Benchmark data by Artificial Analysis

About this model

Mistral Large 3 2512 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 Large 3 2512?

Mistral Large 3 2512 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 15.9 on the Artificial Analysis intelligence index.

Is Mistral Large 3 2512 free?

The weights are free and open — you can self-host Mistral Large 3 2512 and pay nothing per token. If you prefer a hosted API, list prices are $0.5 per million input tokens and $1.5 per million output tokens.

What is Mistral Large 3 2512 good at?

Independent benchmarks from Artificial Analysis give it GPQA 68%, MMLU-Pro 80.7%, Humanity's Last Exam 4.1%, Long Context Reasoning 34.7%, LiveCodeBench 46.5%, SciCode 36.2%, AIME 2025 38%, IFBench 36.2%, τ²-Bench 24.6%, τ-Bench Banking 5.8%, Terminal-Bench 12%, Terminal-Bench Hard 15.9%. It is particularly used for code generation.

How fast is Mistral Large 3 2512?

It generates about 60.6 tokens per second, with a median 1.07s delay before the first token. Measured independently by Artificial Analysis.

Can I self-host Mistral Large 3 2512?

Yes. Mistral Large 3 2512 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.

Mistral NemoMistral AIMistral Small 3.2 24BMistral AIMistral Small 4Mistral AIMistral Medium 3.5Mistral AIMistral Small 3Mistral AIMinistral 3 14B 2512Mistral AI