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GPT-5 mini vs GPT-5 nano
Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 9.9% higher average benchmark score. GPT-5 nano is $1.80 cheaper per million tokens. Overall, GPT-5 mini is the stronger choice for coding tasks.
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OpenAI
GPT-5 Mini was created as a more accessible version of GPT-5, designed to provide strong capabilities with improved efficiency and lower operational costs. Built to extend GPT-5's advancements to a broader range of applications, it balances advanced performance with practical deployment considerations.
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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.
Launched on the same date
GPT-5 mini
OpenAI
2025-08-07
GPT-5 nano
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5 mini
Input:$0.25
Output:$2.00
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GPT-5 nano
Input:$0.05
Output:$0.40($1.80 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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GPT-5 mini
Average Score:60.0%(+9.9%)
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GPT-5 nano
Average Score:50.1%
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Knowledge Cutoff
Training data recency comparison
GPT-5 mini
2024-05-30
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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GPT-5 mini
2 providers
OpenAI
Throughput: 200 tok/s
Latency: 1ms
ZeroEval
Throughput: 200 tok/s
Latency: 1ms
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GPT-5 mini
Avg Score:60.0%(+9.9%)
Providers:2
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GPT-5 nano
Avg Score:50.1%
Providers:2