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Claude Opus 4 vs DeepSeek-R1
Comprehensive side-by-side LLM comparison
Claude Opus 4 offers 65.9K more tokens in context window than DeepSeek-R1. DeepSeek-R1 is $87.26 cheaper per million tokens. Claude Opus 4 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Anthropic
Claude Opus 4 was developed as the flagship model in the Claude 4 generation, designed to push the boundaries of AI capability in complex reasoning, analysis, and multi-step problem-solving. Built to handle the most demanding enterprise tasks, it represents Anthropic's highest tier of intelligence and capability.
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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.
4 months newer
DeepSeek-R1
DeepSeek
2025-01-20
Claude Opus 4
Anthropic
2025-05-22
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Pricing Comparison
Cost per million tokens (USD)
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Claude Opus 4
Input:$15.00
Output:$75.00
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DeepSeek-R1
Input:$0.55
Output:$2.19($87.26 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Claude Opus 4
4 providers
Anthropic
Throughput: 100 tok/s
Latency: 0.5ms
Bedrock
Throughput: 120 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 Opus 4
Avg Score:0.0%
Providers:4
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DeepSeek-R1
Avg Score:0.0%
Providers:5