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Command R+ vs DeepSeek-V3
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 12.8% higher average benchmark score. DeepSeek-V3 offers 6.1K more tokens in context window than Command R+. Both models have similar pricing. Overall, DeepSeek-V3 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-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
3 months newer
Command R+
Cohere
2024-08-30
DeepSeek-V3
DeepSeek
2024-12-25
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Pricing Comparison
Cost per million tokens (USD)
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Command R+
Input:$0.25
Output:$1.00($0.12 cheaper)
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DeepSeek-V3
Input:$0.27
Output:$1.10
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Command R+
Average Score:75.7%
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DeepSeek-V3
Average Score:88.5%(+12.8%)
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:75.7%
Providers:2
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DeepSeek-V3
Avg Score:88.5%(+12.8%)
Providers:1