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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 16.9% 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 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
8 months newer
Gemma 2 27B
2024-06-27
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Average performance across 40 common benchmarks
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Gemma 2 27B
Average Score:27.6%
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Qwen2.5 VL 32B Instruct
Average Score:44.5%(+16.9%)
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:27.6%
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:44.5%(+16.9%)
Providers:0