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Command R+ vs DeepSeek VL2
Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 27.2% higher average benchmark score. DeepSeek VL2 offers 2.6K more tokens in context window than Command R+. Command R+ is $4808.25 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Overall, DeepSeek VL2 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 VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
3 months newer
Command R+
Cohere
2024-08-30
DeepSeek VL2
DeepSeek
2024-12-13
Pricing Comparison
Cost per million tokens (USD)
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Command R+
Input:$0.25
Output:$1.00($4808.25 cheaper)
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DeepSeek VL2
Input:$9.50
Output:$4800.00
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 VL2
Average Score:49.6%(+27.2%)
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 VL2
Avg Score:49.6%(+27.2%)
Providers:1