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Claude 3.7 Sonnet vs DeepSeek R1 Zero
Comprehensive side-by-side LLM comparison
Claude 3.7 Sonnet leads with 1.7% higher average benchmark score. Claude 3.7 Sonnet supports multimodal inputs. Claude 3.7 Sonnet is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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Anthropic
Claude 3.7 Sonnet represents Anthropic's first hybrid reasoning model, capable of producing near-instant responses or extended step-by-step thinking that is visible to users. Developed with particularly strong improvements in coding and front-end web development, it allows users to control thinking budgets and balances real-world task performance with reasoning capabilities for enterprise applications.
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DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
1 month newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
Claude 3.7 Sonnet
Anthropic
2025-02-24
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Claude 3.7 Sonnet
Average Score:87.0%(+1.7%)
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DeepSeek R1 Zero
Average Score:85.3%
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:87.0%(+1.7%)
Providers:4
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DeepSeek R1 Zero
Avg Score:85.3%
Providers:0