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Gemini 1.0 Pro vs GPT-5 nano
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 43.3% higher average benchmark score. GPT-5 nano offers 487.0K more tokens in context window than Gemini 1.0 Pro. GPT-5 nano is $1.55 cheaper per million tokens. GPT-5 nano supports multimodal inputs. Overall, GPT-5 nano is the stronger choice for coding tasks.
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Gemini 1.0 Pro was developed as Google's initial production-ready multimodal model, designed to handle text and provide strong performance across diverse tasks. Built to serve as a versatile foundation for applications requiring reliable language understanding and generation, it introduced the Gemini architecture to developers and enterprises.
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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.
1 year newer
Gemini 1.0 Pro
2024-02-15
GPT-5 nano
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50
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GPT-5 nano
Input:$0.05
Output:$0.40($1.55 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 1.0 Pro
Average Score:27.9%
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GPT-5 nano
Average Score:71.2%(+43.3%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
GPT-5 nano
2024-05-30
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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GPT-5 nano
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Gemini 1.0 Pro
Avg Score:27.9%
Providers:1
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GPT-5 nano
Avg Score:71.2%(+43.3%)
Providers:2