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 K2 Instruct
Moonshot AI
Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 144K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.

Kimi K2 Instruct
Moonshot AI
2025-01-01

Claude 3.7 Sonnet
Anthropic
2025-02-24
1 month newer
Pricing Comparison
Cost per million tokens (USD)

Claude 3.7 Sonnet

Kimi K2 Instruct
Performance Metrics
Context window and performance specifications

Claude 3.7 Sonnet

Kimi K2 Instruct
Average performance across 6 common benchmarks

Claude 3.7 Sonnet

Kimi K2 Instruct
Performance comparison across key benchmark categories

Claude 3.7 Sonnet

Kimi K2 Instruct
Provider Availability & Performance
Available providers and their performance metrics

Claude 3.7 Sonnet
Bedrock
Anthropic
ZeroEval

Kimi K2 Instruct
Novita

Claude 3.7 Sonnet

Kimi K2 Instruct