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DeepSeek VL2 vs Qwen2 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2 72B Instruct leads with 8.3% higher average benchmark score. DeepSeek VL2 supports multimodal inputs. Overall, Qwen2 72B Instruct is the stronger choice for coding tasks.
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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.
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Alibaba Cloud / Qwen Team
Qwen2 72B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 73.6% across 17 benchmarks. It excels particularly in GSM8k (91.1%), CMMLU (90.1%), HellaSwag (87.6%). Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
Qwen2 72B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
DeepSeek VL2
DeepSeek
2024-12-13
Performance Metrics
Context window and performance specifications
Average performance across 31 common benchmarks
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DeepSeek VL2
Average Score:32.0%
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Qwen2 72B Instruct
Average Score:40.4%(+8.3%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
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Qwen2 72B Instruct
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DeepSeek VL2
Avg Score:32.0%
Providers:1
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Qwen2 72B Instruct
Avg Score:40.4%(+8.3%)
Providers:0