Mistral Large

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
128K
Parameters
32B (Rumoured)
Released
Feb 25, 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 2, Mistral AI's flagship model, demonstrates strong overall performance with a focus on reliability and specific areas of excellence. The model performs among the fastest models, ranking in the 71st percentile for speed across eight benchmarks. It offers competitive pricing, positioned in the 28th percentile. Notably, Mistral Large 2 exhibits exceptional reliability, achieving a 100% success rate across all benchmarks, indicating consistent and usable responses. Key strengths include perfect accuracy in Hallucinations and Ethics benchmarks, where it also stands out as the most accurate model at its price point and speed. It shows very strong performance in General Knowledge (98.5% accuracy) and Mathematics (93.0% accuracy), placing it in the 61st and 79th percentiles respectively. Email Classification also highlights a strength with 99.0% accuracy. While performing well in Instruction Following (63.0% accuracy) and Coding (82.0% accuracy), these categories, along with Reasoning (64.0% accuracy), represent areas where there is room for further improvement compared to its top-tier performance in other domains. Its extensive language support and 128k context window further enhance its versatility.

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 128K $2 / 1M tokens $6 / 1M tokens
Azure
Azure | mistralai/mistral-large 128K $3 / 1M tokens $9 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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