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GPT-4.1 nano vs GPT-5 mini
Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 32.0% higher average benchmark score. GPT-4.1 nano offers 552.3K more tokens in context window than GPT-5 mini. GPT-4.1 nano is $1.75 cheaper per million tokens. Overall, GPT-5 mini is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
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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.
3 months newer
GPT-4.1 nano
OpenAI
2025-04-14
GPT-5 mini
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1 nano
Input:$0.10
Output:$0.40($1.75 cheaper)
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GPT-5 mini
Input:$0.25
Output:$2.00
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-4.1 nano
Average Score:50.3%
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GPT-5 mini
Average Score:82.3%(+32.0%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 mini
2024-05-30
GPT-4.1 nano
2024-05-31
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-4.1 nano
1 providers
OpenAI
Throughput: 200 tok/s
Latency: 2ms
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GPT-5 mini
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GPT-4.1 nano
Avg Score:50.3%
Providers:1
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GPT-5 mini
Avg Score:82.3%(+32.0%)
Providers:2