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DeepSeek R1 Distill Qwen 1.5B vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 12.2% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Overall, Qwen2.5 VL 32B Instruct is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Qwen-1.5B was created through distillation into an ultra-compact Qwen architecture, designed to enable reasoning capabilities on resource-constrained devices. Built with just 1.5 billion parameters, it brings advanced analytical techniques to edge computing and mobile scenarios.
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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.
1 month newer
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
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Average performance across 1 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:33.8%
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Qwen2.5 VL 32B Instruct
Average Score:46.0%(+12.2%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 1.5B
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:33.8%
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:46.0%(+12.2%)
Providers:0