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Gemini 1.0 Pro vs Gemma 3n E4B
Comprehensive side-by-side LLM comparison
Gemma 3n E4B leads with 13.8% higher average benchmark score. Gemma 3n E4B supports multimodal inputs. Overall, Gemma 3n E4B is the stronger choice for coding tasks.
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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.
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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.
1 year newer
Gemini 1.0 Pro
2024-02-15
Gemma 3n E4B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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Gemini 1.0 Pro
Average Score:21.8%
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Gemma 3n E4B
Average Score:35.5%(+13.8%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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
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Gemini 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Gemma 3n E4B
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Gemini 1.0 Pro
Avg Score:21.8%
Providers:1
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Gemma 3n E4B
Avg Score:35.5%(+13.8%)
Providers:0