+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 3n E2B Instructed vs Qwen2.5 VL 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct leads with 29.2% higher average benchmark score. Overall, Qwen2.5 VL 72B Instruct is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
5 months newer
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Gemma 3n E2B Instructed
2025-06-26
Average performance across 48 common benchmarks
+
+
+
+
Gemma 3n E2B Instructed
Average Score:12.6%
+
+
+
+
Qwen2.5 VL 72B Instruct
Average Score:41.8%(+29.2%)
+
+
+
+
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
+
+
+
+
Gemma 3n E2B Instructed
0 providers
+
+
+
+
Qwen2.5 VL 72B Instruct
0 providers
+
+
+
+
Gemma 3n E2B Instructed
Avg Score:12.6%
Providers:0
+
+
+
+
Qwen2.5 VL 72B Instruct
Avg Score:41.8%(+29.2%)
Providers:0