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Gemma 3n E2B Instructed vs QwQ-32B
Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed leads with 3.7% higher average benchmark score. Gemma 3n E2B Instructed supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Gemma 3n E2B Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (66.5%), MMLU (60.1%), Global-MMLU-Lite (59.0%). 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 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). 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
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Gemma 3n E2B Instructed
2025-06-26
Average performance across 23 common benchmarks
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Gemma 3n E2B Instructed
Average Score:26.4%(+3.7%)
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QwQ-32B
Average Score:22.7%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B Instructed
2024-06-01
QwQ-32B
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 E2B Instructed
0 providers
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QwQ-32B
0 providers
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Gemma 3n E2B Instructed
Avg Score:26.4%(+3.7%)
Providers:0
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QwQ-32B
Avg Score:22.7%
Providers:0