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Claude 3.7 Sonnet vs DeepSeek-R1
Comprehensive side-by-side LLM comparison
Claude 3.7 Sonnet offers 65.9K more tokens in context window than DeepSeek-R1. DeepSeek-R1 is $15.26 cheaper per million tokens. Claude 3.7 Sonnet supports multimodal inputs. 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 was developed as a reasoning-focused language model, designed to combine chain-of-thought reasoning with reinforcement learning techniques. Built to excel at complex problem-solving through trial-and-error learning and deliberate analytical processes, it demonstrates the power of efficient training methods in open-source model development.
1 month newer
DeepSeek-R1
DeepSeek
2025-01-20
Claude 3.7 Sonnet
Anthropic
2025-02-24
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Pricing Comparison
Cost per million tokens (USD)
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Claude 3.7 Sonnet
Input:$3.00
Output:$15.00
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DeepSeek-R1
Input:$0.55
Output:$2.19($15.26 cheaper)
Performance Metrics
Context window and performance specifications
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:0.0%
Providers:4
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DeepSeek-R1
Avg Score:0.0%
Providers:5