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Command R+ vs DeepSeek-V3.2-Exp
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 23.9% higher average benchmark score. Command R+ offers 26.6K more tokens in context window than DeepSeek-V3.2-Exp. DeepSeek-V3.2-Exp is $0.57 cheaper per million tokens. Overall, DeepSeek-V3.2-Exp 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-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 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.
1 year newer
Command R+
Cohere
2024-08-30
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Pricing Comparison
Cost per million tokens (USD)
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Command R+
Input:$0.25
Output:$1.00
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DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41($0.57 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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Command R+
Average Score:22.4%
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DeepSeek-V3.2-Exp
Average Score:46.3%(+23.9%)
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:22.4%
Providers:2
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DeepSeek-V3.2-Exp
Avg Score:46.3%(+23.9%)
Providers:2