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

Phi-3.5-vision-instruct
Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). The model shows particular specialization in general tasks with an average performance of 75.9%. 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 Microsoft's latest advancement in AI technology.

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.

Phi-3.5-vision-instruct
Microsoft
2024-08-23

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

Phi-3.5-vision-instruct

Pixtral Large
Average performance across 4 common benchmarks

Phi-3.5-vision-instruct

Pixtral Large
Performance comparison across key benchmark categories

Phi-3.5-vision-instruct

Pixtral Large
Provider Availability & Performance
Available providers and their performance metrics

Phi-3.5-vision-instruct

Pixtral Large
Mistral AI

Phi-3.5-vision-instruct

Pixtral Large