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GPT-4o mini vs GPT-5 nano
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 31.0% higher average benchmark score. GPT-5 nano offers 383.6K more tokens in context window than GPT-4o mini. Both models have similar pricing. Overall, GPT-5 nano is the stronger choice for coding tasks.
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OpenAI
GPT-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
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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
GPT-4o mini
OpenAI
2024-07-18
GPT-5 nano
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4o mini
Input:$0.15
Output:$0.60
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GPT-5 nano
Input:$0.05
Output:$0.40($0.30 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-4o mini
Average Score:40.2%
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GPT-5 nano
Average Score:71.2%(+31.0%)
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
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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GPT-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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GPT-5 nano
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GPT-4o mini
Avg Score:40.2%
Providers:1
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GPT-5 nano
Avg Score:71.2%(+31.0%)
Providers:2