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Claude 3.7 Sonnet vs DeepSeek R1 Zero
Comprehensive side-by-side LLM comparison
Claude 3.7 Sonnet leads with 42.4% higher average benchmark score. Claude 3.7 Sonnet supports multimodal inputs. Claude 3.7 Sonnet is available on 4 providers. Overall, Claude 3.7 Sonnet is the stronger choice for coding tasks.
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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.
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DeepSeek
DeepSeek R1 Zero is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.5% across 4 benchmarks. It excels particularly in MATH-500 (95.9%), AIME 2024 (86.7%), GPQA (73.3%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
1 month newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Claude 3.7 Sonnet
Anthropic
2025-02-24
Performance Metrics
Context window and performance specifications
Average performance across 12 common benchmarks
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Claude 3.7 Sonnet
Average Score:67.9%(+42.4%)
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DeepSeek R1 Zero
Average Score:25.5%
Provider Availability & Performance
Available providers and their performance metrics
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Claude 3.7 Sonnet
4 providers
Anthropic
Throughput: 42 tok/s
Latency: 0.4ms
Bedrock
Throughput: 101 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
ZeroEval
Throughput: 42 tok/s
Latency: 0.4ms
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Claude 3.7 Sonnet
Avg Score:67.9%(+42.4%)
Providers:4
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DeepSeek R1 Zero
Avg Score:25.5%
Providers:0