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DeepSeek VL2 Tiny vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 19.0% higher average benchmark score. Overall, Qwen2.5 VL 32B 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 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
2 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
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Average performance across 4 common benchmarks
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DeepSeek VL2 Tiny
Average Score:60.4%
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Qwen2.5 VL 32B Instruct
Average Score:79.4%(+19.0%)
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 32B Instruct
0 providers
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DeepSeek VL2 Tiny
Avg Score:60.4%
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:79.4%(+19.0%)
Providers:0