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Gemini 2.0 Flash vs Gemma 3n E2B
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash leads with 9.2% higher average benchmark score. Overall, Gemini 2.0 Flash is the stronger choice for coding tasks.
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Gemini 2.0 Flash is a multimodal language model developed by Google. It achieves strong performance with an average score of 66.7% across 13 benchmarks. It excels particularly in Natural2Code (92.9%), MATH (89.7%), FACTS Grounding (83.6%). 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 E2B is a multimodal language model developed by Google. The model shows competitive results across 11 benchmarks. Notable strengths include PIQA (78.9%), BoolQ (76.4%), ARC-E (75.8%). 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.
6 months newer
Gemini 2.0 Flash
2024-12-01
Gemma 3n E2B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 24 common benchmarks
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Gemini 2.0 Flash
Average Score:36.1%(+9.2%)
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Gemma 3n E2B
Average Score:26.9%
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
2024-06-01
Gemini 2.0 Flash
2024-08-01
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 2.0 Flash
1 providers
Throughput: 183 tok/s
Latency: 0.4ms
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Gemma 3n E2B
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Gemini 2.0 Flash
Avg Score:36.1%(+9.2%)
Providers:1
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Gemma 3n E2B
Avg Score:26.9%
Providers:0