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Gemini 2.0 Flash Thinking vs Gemma 3 12B
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash Thinking leads with 33.3% higher average benchmark score. 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 12B was developed as part of the third generation of Google's open-source model family, designed to provide enhanced capabilities in a mid-sized format. Built with improved architecture and training techniques, it balances performance with practical deployment considerations for diverse use cases.
1 month newer
Gemini 2.0 Flash Thinking
2025-01-21
Gemma 3 12B
2025-03-12
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:74.2%(+33.3%)
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Gemma 3 12B
Average Score:40.9%
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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 12B
1 providers
DeepInfra
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Gemini 2.0 Flash Thinking
Avg Score:74.2%(+33.3%)
Providers:0
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Gemma 3 12B
Avg Score:40.9%
Providers:1