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Command R+ vs DeepSeek-V2.5
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 32.6% higher average benchmark score. Command R+ offers 239.6K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $0.83 cheaper per million tokens. Overall, DeepSeek-V2.5 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-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
3 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Command R+
Cohere
2024-08-30
Pricing Comparison
Cost per million tokens (USD)
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Command R+
Input:$0.25
Output:$1.00
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($0.83 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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Command R+
Average Score:23.6%
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DeepSeek-V2.5
Average Score:56.1%(+32.6%)
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:23.6%
Providers:2
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DeepSeek-V2.5
Avg Score:56.1%(+32.6%)
Providers:3