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Gemma 2 27B vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
Gemma 2 27B leads with 45.4% higher average benchmark score. QvQ-72B-Preview supports multimodal inputs. Overall, Gemma 2 27B 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
QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
6 months newer
Gemma 2 27B
2024-06-27
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Average performance across 20 common benchmarks
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Gemma 2 27B
Average Score:55.3%(+45.4%)
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QvQ-72B-Preview
Average Score:9.9%
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 27B
0 providers
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QvQ-72B-Preview
0 providers
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Gemma 2 27B
Avg Score:55.3%(+45.4%)
Providers:0
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QvQ-72B-Preview
Avg Score:9.9%
Providers:0