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Gemini 2.0 Flash Thinking vs Phi 4 Reasoning
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash Thinking leads with 3.2% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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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Microsoft
Phi-4 Reasoning was developed to incorporate extended analytical thinking into the Phi-4 architecture, designed to spend more time on complex problem-solving. Built to combine compact model efficiency with reasoning depth, it represents Microsoft's exploration of thoughtful small models.
3 months newer
Gemini 2.0 Flash Thinking
2025-01-21
Phi 4 Reasoning
Microsoft
2025-04-30
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Average performance across 2 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:73.8%(+3.2%)
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Phi 4 Reasoning
Average Score:70.5%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash Thinking
2024-08-01
Phi 4 Reasoning
2025-03-01
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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Phi 4 Reasoning
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:73.8%(+3.2%)
Providers:0
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Phi 4 Reasoning
Avg Score:70.5%
Providers:0