Mistral Large 2411

Text input Text output
Author's Description

Mistral Large 2 2411 is an update of [Mistral Large 2](/mistralai/mistral-large) released together with [Pixtral Large 2411](/mistralai/pixtral-large-2411) It provides a significant upgrade on the previous [Mistral Large 24.07](/mistralai/mistral-large-2407), with notable improvements in long context understanding, a new system prompt, and more accurate function calling.

Key Specifications
Cost
$$$$$
Context
131K
Parameters
32B (Rumoured)
Released
Nov 18, 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 2 2411, released on November 18, 2024, demonstrates a significant upgrade over its predecessor, Mistral Large 24.07, particularly in long context understanding, system prompt capabilities, and function calling accuracy. This model exhibits competitive response times, ranking in the 52nd percentile for speed across six benchmarks. Its pricing is moderate, positioned at the 27th percentile, offering a cost-effective solution. A standout feature is its exceptional reliability, achieving the 100th percentile with minimal technical failures, ensuring consistent and usable responses. Performance across benchmarks highlights several strengths. Mistral Large 2 2411 achieved perfect accuracy in the Ethics (Baseline) benchmark, making it the most accurate model at its price point and among models of similar speed. It also performed strongly in Email Classification (99.0% accuracy) and General Knowledge (97.5% accuracy). Coding (Baseline) showed good accuracy at 89.0%. While Instruction Following (61.0% accuracy) and Reasoning (56.0% accuracy) were not as high, they still represent solid performance. The model's ability to handle complex ethical scenarios and classify emails with high precision are notable strengths, alongside its robust general knowledge.

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-2411 131K $2 / 1M tokens $6 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Free Executions Accuracy Cost Duration
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