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Gemma 3n E4B vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
Gemma 3n E4B leads with 30.3% higher average benchmark score. Gemma 3n E4B supports multimodal inputs. QwQ-32B-Preview is available on 4 providers. 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
QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. 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.
7 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Gemma 3n E4B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
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Gemma 3n E4B
Average Score:47.4%(+30.3%)
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QwQ-32B-Preview
Average Score:17.1%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B
2024-06-01
QwQ-32B-Preview
2024-11-28
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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QwQ-32B-Preview
4 providers
DeepInfra
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Gemma 3n E4B
Avg Score:47.4%(+30.3%)
Providers:0
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QwQ-32B-Preview
Avg Score:17.1%
Providers:4