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DeepSeek VL2 Small vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 33.8% higher average benchmark score. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek VL2 Small is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 69.6% across 14 benchmarks. It excels particularly in DocVQA (92.3%), ChartQA (84.5%), OCRBench (83.4%). 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-Omni-7B is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
3 months newer
DeepSeek VL2 Small
DeepSeek
2024-12-13
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Average performance across 50 common benchmarks
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DeepSeek VL2 Small
Average Score:19.5%
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Qwen2.5-Omni-7B
Average Score:53.3%(+33.8%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Small
0 providers
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Qwen2.5-Omni-7B
0 providers
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DeepSeek VL2 Small
Avg Score:19.5%
Providers:0
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Qwen2.5-Omni-7B
Avg Score:53.3%(+33.8%)
Providers:0