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Gemma 2 9B vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 41.8% higher average benchmark score. QvQ-72B-Preview supports multimodal inputs. Overall, Gemma 2 9B is the stronger choice for coding tasks.
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Gemma 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). 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 9B
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 9B
Average Score:51.7%(+41.8%)
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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 9B
0 providers
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QvQ-72B-Preview
0 providers
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Gemma 2 9B
Avg Score:51.7%(+41.8%)
Providers:0
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QvQ-72B-Preview
Avg Score:9.9%
Providers:0