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GPT-4.1 nano vs o1-mini
Comprehensive side-by-side LLM comparison
o1-mini leads with 7.4% higher average benchmark score. GPT-4.1 nano offers 886.8K more tokens in context window than o1-mini. GPT-4.1 nano is $14.50 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. Overall, o1-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
o1-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
7 months newer
o1-mini
OpenAI
2024-09-12
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($14.50 cheaper)
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o1-mini
Input:$3.00
Output:$12.00
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-4.1 nano
Average Score:65.2%
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o1-mini
Average Score:72.6%(+7.4%)
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Knowledge Cutoff
Training data recency comparison
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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o1-mini
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GPT-4.1 nano
Avg Score:65.2%
Providers:1
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o1-mini
Avg Score:72.6%(+7.4%)
Providers:2