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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 is a multimodal language model developed by Anthropic. It achieves strong performance with an average score of 72.7% across 8 benchmarks. It excels particularly in MMMLU (89.5%), TAU-bench Retail (82.4%), GPQA (80.9%). It supports a 232K 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 is a language model developed by DeepSeek. It supports a 262K token context window for handling large documents. The model is available through 5 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
6 months newer
DeepSeek-R1
DeepSeek
2025-01-20
Claude Opus 4.1
Anthropic
2025-08-05
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
Average performance across 8 common benchmarks
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Claude Opus 4.1
Average Score:72.7%(+72.7%)
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DeepSeek-R1
Average Score:0.0%
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:72.7%(+72.7%)
Providers:4
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DeepSeek-R1
Avg Score:0.0%
Providers:5