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GPT-4.1 nano vs o1-preview
Comprehensive side-by-side LLM comparison
o1-preview leads with 15.4% higher average benchmark score. GPT-4.1 nano offers 919.6K more tokens in context window than o1-preview. GPT-4.1 nano is $74.50 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. Overall, o1-preview 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-preview was introduced as an early version of OpenAI's reasoning model series, designed to demonstrate the potential of AI models that engage in extended thinking before responding. Built to solve complex problems through deliberate reasoning processes, it represented an initial step toward more thoughtful and analytical AI systems.
7 months newer
o1-preview
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($74.50 cheaper)
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o1-preview
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4.1 nano
Average Score:53.3%
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o1-preview
Average Score:68.7%(+15.4%)
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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-preview
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GPT-4.1 nano
Avg Score:53.3%
Providers:1
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o1-preview
Avg Score:68.7%(+15.4%)
Providers:2