+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemma 3n E2B Instructed vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct leads with 7.6% higher average benchmark score. Gemma 3n E2B Instructed supports multimodal inputs. Overall, Llama 3.2 3B 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.
+
+
+
+
Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
9 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Gemma 3n E2B Instructed
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 30 common benchmarks
+
+
+
+
Gemma 3n E2B Instructed
Average Score:20.2%
+
+
+
+
Llama 3.2 3B Instruct
Average Score:27.8%(+7.6%)
+
+
+
+
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
+
+
+
+
Llama 3.2 3B Instruct
1 providers
DeepInfra
+
+
+
+
Gemma 3n E2B Instructed
Avg Score:20.2%
Providers:0
+
+
+
+
Llama 3.2 3B Instruct
Avg Score:27.8%(+7.6%)
Providers:1