Mistral Large 2407

mistralai/mistral-large-2407

Mistral Large 2407 is a text and file input model with text output. It has a context length of 131,072 tokens and supports tool use. Pricing is $2 per million input tokens and $6 per million output tokens.

  • tool use
  • structured outputs
  • open-weight

At a glance

providermistralai
releasedJul 24, 2024
context131K
input / M$2

Specifications

What the API gives you

Context window
131K tokens
Max output
105K tokens
Input price
$2 / 1M tokens
Output price
$6 / 1M tokens
Cache read
$0.20 / 1M tokens
Modalities
text, file → text
Knowledge cutoff
Mar 31, 2024
Released
Jul 24, 2024

Measured evidence

Public benchmark record

GPQA Diamond (Epoch AI)
49% ± 2.62025-01-27evaluated 2025-01-27
OTIS Mock AIME (Epoch AI)
8.5% ± 2.52025-02-25evaluated 2025-02-25

LMArena data licensed CC-BY-4.0. Aider (Apache-2.0) and SWE-bench (MIT) are open. Design Arena uses blind human preference.

Task evidence

How broad is the support?

Each status is exact to this model version and the selected task. Official release claims remain provisional.

  • Best LLM for Math & ReasoningEstablished evidence

    16% of intended weighted task evidence across 2 independent sources. 7 of 7 configured evaluation feeds currently have results.

  • 18% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from LiveBench Instruction Following or LiveBench Reasoning. 5 of 5 configured evaluation feeds currently have results.

  • Best LLM for Competition MathProvisional evidence

    11% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from FrontierMath Tiers 1-3 (Epoch AI) or LiveBench Mathematics. 6 of 6 configured evaluation feeds currently have results.

Recommendation coverage

Where this model appears

Not currently included in a published recommendation. The task evidence panel above says exactly what is confirmed and what is still missing.

Catalog data via OpenRouter and models.dev. Last checked within the past 6 hours.