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Claude Opus 4.1 vs DeepSeek-R1
Comprehensive side-by-side LLM comparison
DeepSeek-R1 offers 30.1K more tokens in context window than Claude Opus 4.1. DeepSeek-R1 is $87.26 cheaper per million tokens. Claude Opus 4.1 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Anthropic
Claude Opus 4.1 represents an iteration within the Claude 4 Opus line, built to deliver refined performance in complex reasoning and analysis tasks. Developed as part of Anthropic's flagship tier, it incorporates improvements to the foundational capabilities that define the Opus family of models.
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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.
6 months newer
DeepSeek-R1
DeepSeek
2025-01-20
Claude Opus 4.1
Anthropic
2025-08-05
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Pricing Comparison
Cost per million tokens (USD)
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Claude Opus 4.1
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 4.1
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 4.1
Avg Score:0.0%
Providers:4
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DeepSeek-R1
Avg Score:0.0%
Providers:5