+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 3n E4B Instructed LiteRT Preview vs Qwen2 72B Instruct
Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed LiteRT Preview leads with 4.2% higher average benchmark score. Gemma 3n E4B Instructed LiteRT Preview supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
+
+
+
+
Gemma 3n E4B Instructed LiteRT Preview is a multimodal language model developed by Google. The model shows competitive results across 28 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2 72B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 73.6% across 17 benchmarks. It excels particularly in GSM8k (91.1%), CMMLU (90.1%), HellaSwag (87.6%). Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
10 months newer
Qwen2 72B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
Gemma 3n E4B Instructed LiteRT Preview
2025-05-20
Average performance across 37 common benchmarks
+
+
+
+
Gemma 3n E4B Instructed LiteRT Preview
Average Score:38.1%(+4.2%)
+
+
+
+
Qwen2 72B Instruct
Average Score:33.8%
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed LiteRT Preview
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 Instructed LiteRT Preview
0 providers
+
+
+
+
Qwen2 72B Instruct
0 providers
+
+
+
+
Gemma 3n E4B Instructed LiteRT Preview
Avg Score:38.1%(+4.2%)
Providers:0
+
+
+
+
Qwen2 72B Instruct
Avg Score:33.8%
Providers:0