Mistral Large 2407

Text input Text output
Author's Description

This is Mistral AI's flagship model, Mistral Large 2 (version mistral-large-2407). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/). It supports dozens of languages including French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, and Korean, along with 80+ coding languages including Python, Java, C, C++, JavaScript, and Bash. Its long context window allows precise information recall from large documents.

Key Specifications
Cost
$$$$
Context
131K
Parameters
32B (Rumoured)
Released
Nov 18, 2024
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Tools Structured Outputs Tool Choice Response Format Stop Seed Top P Max Tokens Frequency Penalty Temperature Presence Penalty
Features

This model supports the following features:

Tools Response Format Structured Outputs
Performance Summary

Mistral Large 2407, Mistral AI's flagship model, demonstrates strong overall performance with a focus on reliability and speed. It consistently performs in the top tier for speed, ranking in the 73rd percentile across benchmarks, and offers moderate pricing, placing in the 27th percentile. Notably, the model exhibits exceptional reliability with a 100% success rate, indicating minimal technical failures and consistent response delivery. In terms of specific benchmarks, Mistral Large 2407 excels in hallucination prevention, achieving perfect 100% accuracy, making it the most accurate model at its price point and speed. It also shows strong performance in General Knowledge (99.5% accuracy) and Email Classification (99.0% accuracy). Its multilingual and multi-coding language support, coupled with a 131,072 context length, underpins its ability for precise information recall. While its Ethics and Mathematics scores are solid (99.0% and 88.0% respectively), its performance in Instruction Following (62.0% accuracy) and Reasoning (58.0% accuracy) is more moderate, suggesting areas for potential improvement in highly complex, multi-step tasks. Coding performance is respectable at 82.0% accuracy.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $2
Completion $6

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Mistral
Mistral | mistralai/mistral-large-2407 131K $2 / 1M tokens $6 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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