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Gemma 2 9B vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 33.9% 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 2 9B was created as a more compact open-source model, designed to deliver capable performance with reduced computational requirements. Built with 9 billion parameters and instruction tuning, it serves applications where efficiency and accessibility are valued alongside the benefits of open-source availability.
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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.
8 months newer
Gemma 2 9B
2024-06-27
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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Gemma 2 9B
Average Score:50.1%
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Qwen2.5 VL 32B Instruct
Average Score:84.0%(+33.9%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 9B
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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Gemma 2 9B
Avg Score:50.1%
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:84.0%(+33.9%)
Providers:0