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Gemini 2.0 Flash Thinking vs Gemma 2 9B
Comprehensive side-by-side LLM comparison
Gemma 2 9B leads with 42.7% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, Gemma 2 9B 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 2 9B is a language model developed by Google. It achieves strong performance with an average score of 64.6% across 16 benchmarks. It excels particularly in ARC-E (88.0%), BoolQ (84.2%), HellaSwag (81.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Google's latest advancement in AI technology.
6 months newer
Gemma 2 9B
2024-06-27
Gemini 2.0 Flash Thinking
2025-01-21
Average performance across 19 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:11.7%
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Gemma 2 9B
Average Score:54.4%(+42.7%)
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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 2 9B
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:11.7%
Providers:0
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Gemma 2 9B
Avg Score:54.4%(+42.7%)
Providers:0