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Gemma 3 1B vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 42.8% 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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Gemma 3 1B was created as an ultra-lightweight open-source model, designed to enable AI capabilities on devices with limited resources. Built with just 1 billion parameters while maintaining instruction-following abilities, it serves edge computing, mobile applications, and scenarios where minimal footprint is essential.
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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.
12 days newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Gemma 3 1B
2025-03-12
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Average performance across 5 common benchmarks
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Gemma 3 1B
Average Score:31.7%
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Qwen2.5 VL 32B Instruct
Average Score:74.5%(+42.8%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3 1B
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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Gemma 3 1B
Avg Score:31.7%
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:74.5%(+42.8%)
Providers:0