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...

Key Specifications
Cost
$$$$
Context
131K
Parameters
124B (Rumoured)
Released
Nov 18, 2024
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

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

This model supports the following features:

Structured Outputs Response Format Tools
Performance Summary

Mistral's Pixtral Large 2411, a 124B parameter multimodal model, demonstrates a strong overall performance profile. It typically performs among the fastest models, ranking in the top tier for speed (67th percentile). Its pricing is moderate, falling into the 30th percentile across benchmarks. A standout feature is its exceptional reliability, achieving a perfect 100% success rate with minimal technical failures. The model excels in areas requiring precise knowledge and ethical reasoning, achieving perfect accuracy in both Hallucinations (Baseline) and Ethics (Baseline) benchmarks. It also shows strong performance in General Knowledge (99.5% accuracy). While its Mathematics (90.0% accuracy) and Coding (82.0% accuracy) scores are respectable, they indicate room for improvement compared to its top-tier performance in other knowledge-based tasks. A notable weakness appears in Email Classification, where its duration is significantly higher (2nd percentile), suggesting potential inefficiencies in processing such tasks despite a decent accuracy of 98.0%. Reasoning (60.0% accuracy) also presents an area for further development. Overall, Pixtral Large is a highly reliable and accurate model, particularly strong in knowledge retention and ethical understanding, making it suitable for applications where factual correctness and trustworthiness are paramount.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $2
Completion $6
Input Cache Read $0.2

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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