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.

Qwen2.5 14B Instruct
Alibaba
Qwen2.5 14B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 70.0% across 16 benchmarks. It excels particularly in GSM8k (94.8%), HumanEval (83.5%), MBPP (82.0%). The model shows particular specialization in math tasks with an average performance of 87.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 14B Instruct
Alibaba
2024-09-19

Pixtral Large
Mistral AI
2024-11-18
2 months newer
Performance Metrics
Context window and performance specifications

Pixtral Large

Qwen2.5 14B Instruct
Performance comparison across key benchmark categories

Pixtral Large

Qwen2.5 14B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Pixtral Large
Mistral AI

Qwen2.5 14B Instruct

Pixtral Large

Qwen2.5 14B Instruct