+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Gemini 1.0 Pro vs Gemma 3n E2B Instructed
Comprehensive side-by-side LLM comparison
Gemma 3n E2B Instructed leads with 6.9% higher average benchmark score. Gemma 3n E2B Instructed supports multimodal inputs. Overall, Gemma 3n E2B Instructed is the stronger choice for coding tasks.
+
+
+
+
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.
+
+
+
+
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.
1 year newer
Gemini 1.0 Pro
2024-02-15
Gemma 3n E2B Instructed
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
+
+
+
+
Gemini 1.0 Pro
Average Score:17.4%
+
+
+
+
Gemma 3n E2B Instructed
Average Score:24.3%(+6.9%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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
+
+
+
+
Gemini 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
+
+
+
+
Gemma 3n E2B Instructed
+
+
+
+
Gemini 1.0 Pro
Avg Score:17.4%
Providers:1
+
+
+
+
Gemma 3n E2B Instructed
Avg Score:24.3%(+6.9%)
Providers:0