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Command R+ vs Qwen2-VL-72B-Instruct
Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct leads with 32.8% higher average benchmark score. Qwen2-VL-72B-Instruct supports multimodal inputs. Command R+ is available on 2 providers. Overall, Qwen2-VL-72B-Instruct 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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Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 days newer
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Command R+
Cohere
2024-08-30
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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Command R+
Average Score:21.3%
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Qwen2-VL-72B-Instruct
Average Score:54.1%(+32.8%)
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Knowledge Cutoff
Training data recency comparison
Qwen2-VL-72B-Instruct
2023-06-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
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:21.3%
Providers:2
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Qwen2-VL-72B-Instruct
Avg Score:54.1%(+32.8%)
Providers:0