Mistral: Pixtral Large 2411

Text input Image input Text output
Author's Description

Pixtral Large is a 124B parameter, open-weight, multimodal model built on top of [Mistral Large 2](/mistralai/mistral-large-2411). The model is able to understand documents, charts and natural images. The model is available under the Mistral Research License (MRL) for research and educational use, and the Mistral Commercial License for experimentation, testing, and production for commercial purposes.

Key Specifications
Cost
$$$$$
Context
131K
Parameters
124B (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: Pixtral Large 2411, a 124B parameter multimodal model, demonstrates strong overall performance, particularly in reliability and specific accuracy benchmarks. It consistently performs in the top tier for speed, ranking in the 67th percentile across 8 benchmarks, indicating efficient processing. Its pricing is moderate, falling within the 26th percentile, suggesting a balanced cost-to-performance ratio. A standout feature is its exceptional reliability, achieving a 100% success rate across all benchmarks, meaning it consistently provides usable responses without technical failures. In terms of accuracy, Pixtral Large excels in areas requiring precise knowledge and ethical reasoning. It achieved perfect 100% accuracy in both Hallucinations (Baseline) and Ethics (Baseline) benchmarks, indicating a strong ability to acknowledge uncertainty and adhere to ethical principles. It also performed well in General Knowledge (99.5% accuracy) and Mathematics (90.0% accuracy). While its Instruction Following (64.0% accuracy) and Reasoning (60.0% accuracy) scores are respectable, they represent areas with potential for further improvement compared to its top-tier performance in other categories. The model's performance in Email Classification (98.0% accuracy) is strong, though its duration for this benchmark was notably high. Coding accuracy (82.0%) is moderate. Overall, Pixtral Large is a highly reliable and accurate model, particularly strong in knowledge-based and ethical tasks, with competitive speed and moderate pricing.

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