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Gemini 2.0 Flash-Lite vs GPT-5 nano
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 19.7% higher average benchmark score. Gemini 2.0 Flash-Lite 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 Lite was created as an even more efficient variant of Gemini 2.0 Flash, designed for applications where minimal latency and maximum cost-effectiveness are essential. Built to bring next-generation multimodal capabilities to resource-constrained deployments, it optimizes for speed and affordability.
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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-Lite
2025-02-05
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-Lite
Input:$0.07
Output:$0.30($0.08 cheaper)
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GPT-5 nano
Input:$0.05
Output:$0.40
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 2.0 Flash-Lite
Average Score:51.5%
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GPT-5 nano
Average Score:71.2%(+19.7%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
Gemini 2.0 Flash-Lite
2024-06-01
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-Lite
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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GPT-5 nano
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Gemini 2.0 Flash-Lite
Avg Score:51.5%
Providers:1
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GPT-5 nano
Avg Score:71.2%(+19.7%)
Providers:2