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Gemma 3n E2B Instructed vs Qwen3 32B
Comprehensive side-by-side LLM comparison
Qwen3 32B leads with 1.6% higher average benchmark score. Gemma 3n E2B Instructed supports multimodal inputs. Qwen3 32B is available on 3 providers. 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
Qwen3 32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.0% across 9 benchmarks. It excels particularly in Arena Hard (93.8%), AIME 2024 (81.4%), LiveBench (74.9%). It supports a 256K token context window for handling large documents. The model is available through 3 API providers. 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.
1 month newer
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
Gemma 3n E2B Instructed
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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Gemma 3n E2B Instructed
Average Score:24.3%
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Qwen3 32B
Average Score:25.9%(+1.6%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B Instructed
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 Instructed
0 providers
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Qwen3 32B
3 providers
DeepInfra
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Gemma 3n E2B Instructed
Avg Score:24.3%
Providers:0
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Qwen3 32B
Avg Score:25.9%(+1.6%)
Providers:3