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Command R+ vs DeepSeek-V3.1
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 offers 71.7K more tokens in context window than Command R+. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
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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-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
4 months newer
Command R+
Cohere
2024-08-30
DeepSeek-V3.1
DeepSeek
2025-01-10
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Pricing Comparison
Cost per million tokens (USD)
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Command R+
Input:$0.25
Output:$1.00($0.02 cheaper)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00
Performance Metrics
Context window and performance specifications
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:0.0%
Providers:2
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DeepSeek-V3.1
Avg Score:0.0%
Providers:2