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Gemini 1.5 Pro vs GPT-5 nano
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 12.1% higher average benchmark score. Gemini 1.5 Pro offers 1.6M more tokens in context window than GPT-5 nano. GPT-5 nano is $12.05 cheaper per million tokens. Overall, GPT-5 nano is the stronger choice for coding tasks.
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Gemini 1.5 Pro was introduced as Google's advanced multimodal model with an expanded context window, designed to comprehend and reason across long documents, videos, and audio. Built to handle complex, information-rich tasks, it brought breakthrough capabilities in processing extended context while maintaining high-quality reasoning and generation.
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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 1.5 Pro
2024-05-01
GPT-5 nano
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.5 Pro
Input:$2.50
Output:$10.00
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GPT-5 nano
Input:$0.05
Output:$0.40($12.05 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Gemini 1.5 Pro
Average Score:59.1%
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GPT-5 nano
Average Score:71.2%(+12.1%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.5 Pro
2023-11-01
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 1.5 Pro
1 providers
Throughput: 85 tok/s
Latency: 0.7ms
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GPT-5 nano
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Gemini 1.5 Pro
Avg Score:59.1%
Providers:1
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GPT-5 nano
Avg Score:71.2%(+12.1%)
Providers:2