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.

Kimi-k1.5
Moonshot AI
Kimi-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). The model shows particular specialization in math tasks with an average performance of 85.5%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Kimi-k1.5
Moonshot AI
2025-01-20

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

Claude 3.7 Sonnet

Kimi-k1.5
Average performance across 4 common benchmarks

Claude 3.7 Sonnet

Kimi-k1.5
Performance comparison across key benchmark categories

Claude 3.7 Sonnet

Kimi-k1.5
Provider Availability & Performance
Available providers and their performance metrics

Claude 3.7 Sonnet
Bedrock
Anthropic
ZeroEval

Kimi-k1.5

Claude 3.7 Sonnet

Kimi-k1.5