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

Claude 3.7 Sonnet
Anthropic
Claude 3.7 Sonnet is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 74.1% across 11 benchmarks. It excels particularly in MATH-500 (96.2%), IFEval (93.2%), MMMLU (86.1%). It supports a 328K token context window for handling large documents. The model is available through 4 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Anthropic's latest advancement in AI technology.

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.

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

Claude 3.7 Sonnet
Anthropic
2025-02-24
6 months newer
Performance Metrics
Context window and performance specifications

Claude 3.7 Sonnet

Phi-3.5-vision-instruct
Average performance across 1 common benchmarks

Claude 3.7 Sonnet

Phi-3.5-vision-instruct
Performance comparison across key benchmark categories

Claude 3.7 Sonnet

Phi-3.5-vision-instruct
Provider Availability & Performance
Available providers and their performance metrics

Claude 3.7 Sonnet
Bedrock
Anthropic
ZeroEval

Phi-3.5-vision-instruct

Claude 3.7 Sonnet

Phi-3.5-vision-instruct