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Gemini 2.0 Flash Thinking vs Phi 4
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash Thinking leads with 18.1% 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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Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
1 month newer
Phi 4
Microsoft
2024-12-12
Gemini 2.0 Flash Thinking
2025-01-21
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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%(+18.1%)
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Phi 4
Average Score:56.1%
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Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
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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Phi 4
1 providers
DeepInfra
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Gemini 2.0 Flash Thinking
Avg Score:74.2%(+18.1%)
Providers:0
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Phi 4
Avg Score:56.1%
Providers:1