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.

DeepSeek-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

DeepSeek-R1
DeepSeek
2025-01-20

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

Claude 3.7 Sonnet

DeepSeek-R1
Performance Metrics
Context window and performance specifications

Claude 3.7 Sonnet

DeepSeek-R1
Average performance across 5 common benchmarks

Claude 3.7 Sonnet

DeepSeek-R1
Performance comparison across key benchmark categories

Claude 3.7 Sonnet

DeepSeek-R1
Provider Availability & Performance
Available providers and their performance metrics

Claude 3.7 Sonnet
Bedrock
Anthropic
ZeroEval

DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek

Claude 3.7 Sonnet

DeepSeek-R1