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Gemini 2.0 Flash Thinking vs Gemma 3 1B
Comprehensive side-by-side LLM comparison
Gemma 3 1B leads with 15.8% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, Gemma 3 1B 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 3 1B is a language model developed by Google. The model shows competitive results across 18 benchmarks. It excels particularly in IFEval (80.2%), GSM8k (62.8%), Natural2Code (56.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Google's latest advancement in AI technology.
1 month newer
Gemini 2.0 Flash Thinking
2025-01-21
Gemma 3 1B
2025-03-12
Average performance across 20 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:11.1%
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Gemma 3 1B
Average Score:26.9%(+15.8%)
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Knowledge Cutoff
Training data recency comparison
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 3 1B
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:11.1%
Providers:0
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Gemma 3 1B
Avg Score:26.9%(+15.8%)
Providers:0