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Gemini 2.0 Flash Thinking vs Gemma 3n E4B
Comprehensive side-by-side LLM comparison
Gemma 3n E4B leads with 34.9% higher average benchmark score. Overall, Gemma 3n E4B is the stronger choice for coding tasks.
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Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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 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.
5 months newer
Gemini 2.0 Flash Thinking
2025-01-21
Gemma 3n E4B
2025-06-26
Average performance across 14 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:15.9%
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Gemma 3n E4B
Average Score:50.8%(+34.9%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B
2024-06-01
Gemini 2.0 Flash Thinking
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 Thinking
0 providers
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Gemma 3n E4B
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:15.9%
Providers:0
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Gemma 3n E4B
Avg Score:50.8%(+34.9%)
Providers:0