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.

QvQ-72B-Preview
Alibaba
QvQ-72B-Preview is a multimodal language model developed by Alibaba. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Pixtral Large
Mistral AI
2024-11-18

QvQ-72B-Preview
Alibaba
2024-12-25
1 month newer
Performance Metrics
Context window and performance specifications

Pixtral Large

QvQ-72B-Preview
Average performance across 2 common benchmarks

Pixtral Large

QvQ-72B-Preview
Performance comparison across key benchmark categories

Pixtral Large

QvQ-72B-Preview
Provider Availability & Performance
Available providers and their performance metrics

Pixtral Large
Mistral AI

QvQ-72B-Preview

Pixtral Large

QvQ-72B-Preview