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GPT-4.1 nano vs GPT-4o mini
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT-4.1 nano offers 936.0K more tokens in context window than GPT-4o mini. Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
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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-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.
9 months newer
GPT-4o mini
OpenAI
2024-07-18
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 nano
Input:$0.10
Output:$0.40($0.25 cheaper)
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GPT-4o mini
Input:$0.15
Output:$0.60
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4.1 nano
Average Score:60.5%(+0.9%)
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GPT-4o mini
Average Score:59.6%
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
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-4o mini
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GPT-4.1 nano
Avg Score:60.5%(+0.9%)
Providers:1
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GPT-4o mini
Avg Score:59.6%
Providers:1