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DeepSeek VL2 Tiny vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 10.7% higher average benchmark score. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-VL2-Tiny was developed as an ultra-efficient vision-language model, designed for deployment in resource-constrained environments. Built to enable multimodal AI on edge devices and mobile applications, it distills vision-language capabilities into a minimal footprint for widespread accessibility.
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Alibaba Cloud / Qwen Team
Qwen2.5-Omni 7B was created as a multimodal model supporting text, audio, and other modalities, designed to provide integrated understanding across diverse input types. Built with 7 billion parameters for efficient omni-modal processing, it extends AI capabilities beyond traditional text-only or vision-language boundaries.
3 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
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Average performance across 9 common benchmarks
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DeepSeek VL2 Tiny
Average Score:66.1%
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Qwen2.5-Omni-7B
Average Score:76.8%(+10.7%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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Qwen2.5-Omni-7B
0 providers
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DeepSeek VL2 Tiny
Avg Score:66.1%
Providers:0
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Qwen2.5-Omni-7B
Avg Score:76.8%(+10.7%)
Providers:0