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GPT-4.1 nano vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 41.8% higher average benchmark score. GPT-4.1 nano offers 780.3K more tokens in context window than o4-mini. GPT-4.1 nano is $5.00 cheaper per million tokens. Overall, o4-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
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
2 days newer
GPT-4.1 nano
OpenAI
2025-04-14
o4-mini
OpenAI
2025-04-16
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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($5.00 cheaper)
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o4-mini
Input:$1.10
Output:$4.40
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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GPT-4.1 nano
Average Score:31.6%
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o4-mini
Average Score:73.4%(+41.8%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
o4-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 nano
1 providers
OpenAI
Throughput: 200 tok/s
Latency: 2ms
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o4-mini
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GPT-4.1 nano
Avg Score:31.6%
Providers:1
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o4-mini
Avg Score:73.4%(+41.8%)
Providers:1