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DeepSeek VL2 Tiny vs Qwen2.5 VL 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 7B Instruct leads with 11.2% higher average benchmark score. Overall, Qwen2.5 VL 7B Instruct 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-VL 7B was developed as an efficient vision-language model, designed to provide multimodal understanding with minimal computational requirements. Built with 7 billion parameters for integrated visual and textual processing, it serves applications requiring practical vision-language capabilities with constrained resources.
1 month newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
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Average performance across 9 common benchmarks
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DeepSeek VL2 Tiny
Average Score:67.4%
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Qwen2.5 VL 7B Instruct
Average Score:78.6%(+11.2%)
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 7B Instruct
0 providers
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DeepSeek VL2 Tiny
Avg Score:67.4%
Providers:0
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Qwen2.5 VL 7B Instruct
Avg Score:78.6%(+11.2%)
Providers:0