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Gemini 2.0 Flash Thinking vs Gemma 3 1B
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash Thinking leads with 55.0% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, Gemini 2.0 Flash Thinking is the stronger choice for coding tasks.
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Gemini 2.0 Flash Thinking was developed to incorporate extended reasoning capabilities into the Flash family, designed to combine quick response times with deeper analytical processing. Built to handle tasks requiring both speed and thoughtful problem-solving, it bridges the gap between fast inference and reasoning-enhanced models.
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Gemma 3 1B was created as an ultra-lightweight open-source model, designed to enable AI capabilities on devices with limited resources. Built with just 1 billion parameters while maintaining instruction-following abilities, it serves edge computing, mobile applications, and scenarios where minimal footprint is essential.
1 month newer
Gemini 2.0 Flash Thinking
2025-01-21
Gemma 3 1B
2025-03-12
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Average performance across 1 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:74.2%(+55.0%)
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Gemma 3 1B
Average Score:19.2%
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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:74.2%(+55.0%)
Providers:0
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Gemma 3 1B
Avg Score:19.2%
Providers:0