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Command R+ vs DeepSeek-V2.5
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 14.5% 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+ was developed by Cohere as an advanced language model designed for enterprise applications requiring retrieval-augmented generation. Built to excel at combining external knowledge with language understanding, it serves businesses needing reliable, factually-grounded AI assistance with strong reasoning and multilingual capabilities.
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DeepSeek
DeepSeek-V2.5 was developed as an enhanced iteration of the DeepSeek-V2 architecture, designed to incorporate improvements in model quality and efficiency. Built to advance the DeepSeek foundation model series, it provides refined capabilities for general-purpose language understanding and generation tasks.
3 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Command R+
Cohere
2024-08-30
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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 2 common benchmarks
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Command R+
Average Score:73.2%
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DeepSeek-V2.5
Average Score:87.8%(+14.5%)
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:73.2%
Providers:2
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DeepSeek-V2.5
Avg Score:87.8%(+14.5%)
Providers:3