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:

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 2411, an update to Mistral Large 2, demonstrates a balanced performance profile with notable improvements in long context understanding and function calling. It generally performs among the fastest models, ranking in the 62nd percentile for speed, and offers competitive pricing, placing in the 27th percentile. A standout feature is its exceptional reliability, achieving a 100% success rate across all benchmarks, indicating minimal technical failures. The model exhibits perfect accuracy in Ethics (Baseline), making it the most accurate model at its price point and among models of similar speed. It also shows strong performance in Mathematics (93.0% accuracy, 78th percentile) and Email Classification (99.0% accuracy, 77th percentile). While its General Knowledge (97.5% accuracy) is solid, its Hallucinations (94.0% accuracy) are average. Areas for potential improvement include Reasoning (60.0% accuracy, 46th percentile) and Instruction Following (61.0% accuracy, 65th percentile), where there is room to enhance precision in complex multi-step tasks. Coding performance is respectable at 89.0% accuracy. Overall, Mistral Large 2411 is a highly reliable and cost-effective model with particular strengths in ethical reasoning and classification tasks.

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 Strategy Free Executions Accuracy Cost Duration
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