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Gemma 3n E4B vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
Gemma 3n E4B leads with 34.2% higher average benchmark score. Overall, Gemma 3n E4B is the stronger choice for coding tasks.
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Gemma 3n E4B is a multimodal language model developed by Google. It achieves strong performance with an average score of 64.6% across 11 benchmarks. It excels particularly in ARC-E (81.6%), BoolQ (81.6%), PIQA (81.0%). 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
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
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Gemma 3n E4B
2025-06-26
Average performance across 15 common benchmarks
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Gemma 3n E4B
Average Score:47.4%(+34.2%)
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QvQ-72B-Preview
Average Score:13.2%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B
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 E4B
0 providers
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QvQ-72B-Preview
0 providers
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Gemma 3n E4B
Avg Score:47.4%(+34.2%)
Providers:0
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QvQ-72B-Preview
Avg Score:13.2%
Providers:0