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Gemma 2 27B vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 20.3% 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 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-Omni 7B was created as a multimodal model supporting text, audio, and other modalities, designed to provide integrated understanding across diverse input types. Built with 7 billion parameters for efficient omni-modal processing, it extends AI capabilities beyond traditional text-only or vision-language boundaries.
9 months newer
Gemma 2 27B
2024-06-27
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
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Average performance across 4 common benchmarks
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Gemma 2 27B
Average Score:57.7%
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Qwen2.5-Omni-7B
Average Score:78.0%(+20.3%)
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 2 27B
0 providers
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Qwen2.5-Omni-7B
0 providers
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Gemma 2 27B
Avg Score:57.7%
Providers:0
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Qwen2.5-Omni-7B
Avg Score:78.0%(+20.3%)
Providers:0