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Gemini 1.5 Flash 8B vs Gemma 3n E4B
Comprehensive side-by-side LLM comparison
Gemini 1.5 Flash 8B leads with 3.1% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Gemini 1.5 Flash 8B is a multimodal language model developed by Google. It achieves strong performance with an average score of 60.5% across 13 benchmarks. It excels particularly in XSTest (92.6%), FLEURS (86.4%), Natural2Code (75.5%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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 1.5 Flash 8B
2024-03-15
Gemma 3n E4B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 24 common benchmarks
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Gemini 1.5 Flash 8B
Average Score:32.7%(+3.1%)
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Gemma 3n E4B
Average Score:29.6%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B
2024-06-01
Gemini 1.5 Flash 8B
2024-10-01
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 1.5 Flash 8B
1 providers
Throughput: 150 tok/s
Latency: 0.3ms
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Gemma 3n E4B
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Gemini 1.5 Flash 8B
Avg Score:32.7%(+3.1%)
Providers:1
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Gemma 3n E4B
Avg Score:29.6%
Providers:0