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Gemini 2.0 Flash Thinking vs Gemma 3 4B
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash Thinking leads with 43.4% 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 4B was developed as a compact yet capable open-source model, designed to strike a balance between performance and resource efficiency. Built with 4 billion parameters and instruction tuning, it provides a practical option for applications requiring moderate capability with manageable computational costs.
1 month newer
Gemini 2.0 Flash Thinking
2025-01-21
Gemma 3 4B
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%(+43.4%)
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Gemma 3 4B
Average Score:30.8%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash Thinking
2024-08-01
Gemma 3 4B
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 4B
1 providers
DeepInfra
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Gemini 2.0 Flash Thinking
Avg Score:74.2%(+43.4%)
Providers:0
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Gemma 3 4B
Avg Score:30.8%
Providers:1