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MMistral Large 2407API

This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407).

131KContext window · tokens
$2Input price · per M tokens
$6Output price · per M tokens
Mistral AIProvider

Prices update automatically — checked daily against provider list prices.

See open-source alternatives → Compare all model prices

Benchmarks & performance

Independent benchmark scores for Mistral Large 2407, measured by Artificial Analysis. Higher is better. Measurement mode: Jul '24.

Intelligence index7
Math index0
GPQA47.2%
MMLU-Pro68.3%
Humanity's Last Exam2.9%
Long Context Reasoning1.7%
LiveCodeBench26.7%
SciCode27.1%
MATH-50071.4%
AIME9.3%
AIME 20250%
IFBench31.6%
τ²-Bench33%
💰 Blended price$3 / 1M tokens
📈 Value2.3 intelligence points per $
vs. models measured heretop 91%
Scores higher than 9% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $0.2 per 1M tokens (median of 24) — this one costs $3.
Cheaper and better on this index: GPT-5.6 Sol (batch) · GLM 5.3 · GLM 5.3 Flash and 171 more
Benchmark data by Artificial Analysis

About this model

Mistral Large 2407 is a commercial AI model by Mistral AI. The specifications below are tracked automatically: pricing is refreshed daily from public list prices, so the numbers on this page reflect the current cost of using the model through its API.

Frequently asked questions

What is Mistral Large 2407?

Mistral Large 2407 is an AI language model from Mistral AI. It is a proprietary model, available through an API. It scores 7 on the Artificial Analysis intelligence index.

Is Mistral Large 2407 free?

Mistral Large 2407 is not free: it costs $2 per million input tokens and $6 per million output tokens. Open-weight alternatives can be self-hosted at no per-token cost.

What is Mistral Large 2407 good at?

Independent benchmarks from Artificial Analysis give it GPQA 47.2%, MMLU-Pro 68.3%, Humanity's Last Exam 2.9%, Long Context Reasoning 1.7%, LiveCodeBench 26.7%, SciCode 27.1%, MATH-500 71.4%, AIME 9.3%, AIME 2025 0%, IFBench 31.6%, τ²-Bench 33%.

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