+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 3n E4B vs Qwen3 30B A3B
Comprehensive side-by-side LLM comparison
Gemma 3n E4B leads with 6.6% higher average benchmark score. Gemma 3n E4B supports multimodal inputs. Qwen3 30B A3B is available on 3 providers. Overall, Gemma 3n E4B is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
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 E4B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
+
+
+
+
Gemma 3n E4B
Average Score:37.4%(+6.6%)
+
+
+
+
Qwen3 30B A3B
Average Score:30.9%
+
+
+
+
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
+
+
+
+
Gemma 3n E4B
0 providers
+
+
+
+
Qwen3 30B A3B
3 providers
DeepInfra
+
+
+
+
Gemma 3n E4B
Avg Score:37.4%(+6.6%)
Providers:0
+
+
+
+
Qwen3 30B A3B
Avg Score:30.9%
Providers:3