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Gemini 2.0 Flash Thinking vs Gemma 3n E4B Instructed
Comprehensive side-by-side LLM comparison
Gemma 3n E4B Instructed leads with 26.7% higher average benchmark score. Overall, Gemma 3n E4B Instructed 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 Instructed is a multimodal language model developed by Google. The model shows competitive results across 18 benchmarks. Notable strengths include HumanEval (75.0%), MGSM (67.0%), MMLU (64.9%). 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.
5 months newer
Gemini 2.0 Flash Thinking
2025-01-21
Gemma 3n E4B Instructed
2025-06-26
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:11.1%
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Gemma 3n E4B Instructed
Average Score:37.8%(+26.7%)
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Knowledge Cutoff
Training data recency comparison
Gemma 3n E4B Instructed
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 Instructed
1 providers
Together
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Gemini 2.0 Flash Thinking
Avg Score:11.1%
Providers:0
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Gemma 3n E4B Instructed
Avg Score:37.8%(+26.7%)
Providers:1