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Gemma 3n E2B vs Qwen3 30B A3B
Comprehensive side-by-side LLM comparison
Gemma 3n E2B leads with 3.1% higher average benchmark score. Gemma 3n E2B supports multimodal inputs. Qwen3 30B A3B is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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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
Qwen3 30B A3B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 73.3% across 8 benchmarks. It excels particularly in Arena Hard (91.0%), AIME 2024 (80.4%), LiveBench (74.3%). 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 30B A3B
Alibaba Cloud / Qwen Team
2025-04-29
Gemma 3n E2B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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Gemma 3n E2B
Average Score:34.0%(+3.1%)
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Qwen3 30B A3B
Average Score:30.9%
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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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Qwen3 30B A3B
3 providers
DeepInfra
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Gemma 3n E2B
Avg Score:34.0%(+3.1%)
Providers:0
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Qwen3 30B A3B
Avg Score:30.9%
Providers:3