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Command R+ vs DeepSeek-R1-0528
Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 23.4% higher average benchmark score. DeepSeek-R1-0528 offers 6.1K more tokens in context window than Command R+. Command R+ is $1.40 cheaper per million tokens. Overall, DeepSeek-R1-0528 is the stronger choice for coding tasks.
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Cohere
Command R+ is a language model developed by Cohere. It achieves strong performance with an average score of 74.6% across 6 benchmarks. It excels particularly in HellaSwag (88.6%), Winogrande (85.4%), MMLU (75.7%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Cohere's latest advancement in AI technology.
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DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 60.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), SimpleQA (92.3%), AIME 2024 (91.4%). It supports a 262K token context window for handling large documents. The model is available through 3 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.
9 months newer
Command R+
Cohere
2024-08-30
DeepSeek-R1-0528
DeepSeek
2025-05-28
Pricing Comparison
Cost per million tokens (USD)
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Command R+
Input:$0.25
Output:$1.00($1.40 cheaper)
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DeepSeek-R1-0528
Input:$0.50
Output:$2.15
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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Command R+
Average Score:20.3%
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DeepSeek-R1-0528
Average Score:43.7%(+23.4%)
Provider Availability & Performance
Available providers and their performance metrics
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Command R+
2 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cohere
Throughput: 59 tok/s
Latency: 0.65ms
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Command R+
Avg Score:20.3%
Providers:2
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DeepSeek-R1-0528
Avg Score:43.7%(+23.4%)
Providers:3