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DeepSeek VL2 Tiny vs Qwen2.5 VL 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct leads with 30.4% higher average benchmark score. Overall, Qwen2.5 VL 72B Instruct is the stronger choice for coding tasks.
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DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). 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
Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 month newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Average performance across 37 common benchmarks
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DeepSeek VL2 Tiny
Average Score:23.9%
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Qwen2.5 VL 72B Instruct
Average Score:54.2%(+30.4%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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Qwen2.5 VL 72B Instruct
0 providers
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DeepSeek VL2 Tiny
Avg Score:23.9%
Providers:0
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Qwen2.5 VL 72B Instruct
Avg Score:54.2%(+30.4%)
Providers:0