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:

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

This model supports the following features:

Tools Structured Outputs Response Format
Performance Summary

Mistral Large, Mistral AI's flagship model (version `mistral-large-2407`), demonstrates strong overall performance, particularly excelling in reliability and speed. It consistently performs among the fastest models, ranking in the 74th percentile for speed across six benchmarks. While not the cheapest option, its pricing is moderate, placing it in the 28th percentile. A standout feature is its exceptional reliability, achieving a perfect 100th percentile, indicating minimal technical failures and consistent usable responses. Across specific benchmarks, Mistral Large shows impressive accuracy in Ethics (100%) and Email Classification (99%), highlighting its strong ethical alignment and classification capabilities. It also performs well in General Knowledge (98.5%) and Instruction Following (63%), demonstrating robust understanding and adherence to complex directives. Its Coding performance is solid at 82% accuracy, though not top-tier. A notable area for improvement is Reasoning, where it achieved 55% accuracy, placing it in the 43rd percentile. Despite this, its long context window and multilingual support (dozens of human languages and 80+ coding languages) make it a versatile and powerful model for a wide range of applications requiring precise information recall and complex task execution.

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 Free Executions Accuracy Cost Duration
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