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GPT-4.1 mini vs GPT-5 nano
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 24.2% higher average benchmark score. GPT-4.1 mini offers 552.3K more tokens in context window than GPT-5 nano. GPT-5 nano is $1.55 cheaper per million tokens. Overall, GPT-5 nano is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
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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.
3 months newer
GPT-4.1 mini
OpenAI
2025-04-14
GPT-5 nano
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1 mini
Input:$0.40
Output:$1.60
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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 4 common benchmarks
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GPT-4.1 mini
Average Score:36.0%
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GPT-5 nano
Average Score:60.2%(+24.2%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
GPT-4.1 mini
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 mini
2 providers
OpenAI
Throughput: 150 tok/s
Latency: 5ms
ZeroEval
Throughput: 150 tok/s
Latency: 5ms
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GPT-4.1 mini
Avg Score:36.0%
Providers:2
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GPT-5 nano
Avg Score:60.2%(+24.2%)
Providers:2