Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Pixtral Large
Mistral AI
Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). The model shows particular specialization in general tasks with an average performance of 91.0%. It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Qwen3-235B-A22B-Instruct-2507
Alibaba
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Pixtral Large
Mistral AI
2024-11-18

Qwen3-235B-A22B-Instruct-2507
Alibaba
2025-07-22
8 months newer
Performance Metrics
Context window and performance specifications

Pixtral Large

Qwen3-235B-A22B-Instruct-2507
Performance comparison across key benchmark categories

Pixtral Large

Qwen3-235B-A22B-Instruct-2507
Provider Availability & Performance
Available providers and their performance metrics

Pixtral Large
Mistral AI

Qwen3-235B-A22B-Instruct-2507

Pixtral Large

Qwen3-235B-A22B-Instruct-2507