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Gemini 2.0 Flash vs GPT-5 nano
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 9.1% higher average benchmark score. Gemini 2.0 Flash offers 528.8K more tokens in context window than GPT-5 nano. Both models have similar pricing. Overall, GPT-5 nano is the stronger choice for coding tasks.
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Gemini 2.0 Flash was developed as the next generation of Google's fast multimodal model, designed to provide improved performance while maintaining the speed and efficiency that defines the Flash family. Built with enhanced reasoning and generation capabilities, it serves applications requiring both quality and responsiveness.
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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.
8 months newer
Gemini 2.0 Flash
2024-12-01
GPT-5 nano
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.0 Flash
Input:$0.10
Output:$0.40
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GPT-5 nano
Input:$0.05
Output:$0.40($0.05 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 2.0 Flash
Average Score:62.1%
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GPT-5 nano
Average Score:71.2%(+9.1%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
Gemini 2.0 Flash
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
1 providers
Throughput: 183 tok/s
Latency: 0.4ms
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GPT-5 nano
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Gemini 2.0 Flash
Avg Score:62.1%
Providers:1
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GPT-5 nano
Avg Score:71.2%(+9.1%)
Providers:2