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GPT-4.1 mini vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 19.3% higher average benchmark score. GPT-4.1 nano is $1.50 cheaper per million tokens. Overall, GPT-4.1 mini 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-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.
Launched on the same date
GPT-4.1 mini
OpenAI
2025-04-14
GPT-4.1 nano
OpenAI
2025-04-14
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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-4.1 nano
Input:$0.10
Output:$0.40($1.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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GPT-4.1 mini
Average Score:53.5%(+19.3%)
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GPT-4.1 nano
Average Score:34.2%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 mini
2024-05-31
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 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:53.5%(+19.3%)
Providers:2
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GPT-4.1 nano
Avg Score:34.2%
Providers:1