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Gemini 2.5 Flash-Lite vs Gemma 3n E2B
Comprehensive side-by-side LLM comparison
Gemma 3n E2B leads with 4.8% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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 2025, 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.
9 days newer
Gemini 2.5 Flash-Lite
2025-06-17
Gemma 3n E2B
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 24 common benchmarks
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Gemini 2.5 Flash-Lite
Average Score:22.1%
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Gemma 3n E2B
Average Score:26.9%(+4.8%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E2B
2024-06-01
Gemini 2.5 Flash-Lite
2025-01-01
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 2.5 Flash-Lite
1 providers
Throughput: 5.69 tok/s
Latency: 0.44ms
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Gemma 3n E2B
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Gemini 2.5 Flash-Lite
Avg Score:22.1%
Providers:1
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Gemma 3n E2B
Avg Score:26.9%(+4.8%)
Providers:0