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Gemini 2.0 Flash Thinking vs GPT-5 nano
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash Thinking leads with 3.0% higher average benchmark score. GPT-5 nano is available on 2 providers. 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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OpenAI
GPT-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
6 months newer
Gemini 2.0 Flash Thinking
2025-01-21
GPT-5 nano
OpenAI
2025-08-07
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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%(+3.0%)
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GPT-5 nano
Average Score:71.2%
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
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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GPT-5 nano
2 providers
OpenAI
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Gemini 2.0 Flash Thinking
Avg Score:74.2%(+3.0%)
Providers:0
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GPT-5 nano
Avg Score:71.2%
Providers:2