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Gemma 2 9B vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 28.6% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Overall, Qwen2.5-Omni-7B 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
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). 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.
9 months newer
Gemma 2 9B
2024-06-27
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Average performance across 57 common benchmarks
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Gemma 2 9B
Average Score:18.1%
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Qwen2.5-Omni-7B
Average Score:46.8%(+28.6%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 9B
0 providers
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Qwen2.5-Omni-7B
0 providers
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Gemma 2 9B
Avg Score:18.1%
Providers:0
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Qwen2.5-Omni-7B
Avg Score:46.8%(+28.6%)
Providers:0