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Gemma 2 27B vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 26.0% 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 27B was developed as an open-source language model with 27 billion parameters, designed to provide researchers and developers with a capable, instruction-tuned model for experimentation and deployment. Built to democratize access to advanced language understanding, it combines strong performance with the flexibility of open-source licensing.
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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 27B
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 27B
Average Score:58.0%
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Qwen2.5 VL 32B Instruct
Average Score:84.0%(+26.0%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 27B
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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Gemma 2 27B
Avg Score:58.0%
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:84.0%(+26.0%)
Providers:0