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Gemma 3n E2B vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 36.1% higher average benchmark score. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
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Gemma 3n E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, 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.
3 months newer
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Gemma 3n E2B
2025-06-26
Average performance across 56 common benchmarks
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Gemma 3n E2B
Average Score:11.5%
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Qwen2.5-Omni-7B
Average Score:47.6%(+36.1%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemma 3n E2B
0 providers
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Qwen2.5-Omni-7B
0 providers
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Gemma 3n E2B
Avg Score:11.5%
Providers:0
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Qwen2.5-Omni-7B
Avg Score:47.6%(+36.1%)
Providers:0