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GPT-4.1 nano vs o1
Comprehensive side-by-side LLM comparison
o1 leads with 28.4% higher average benchmark score. GPT-4.1 nano offers 780.3K more tokens in context window than o1. GPT-4.1 nano is $74.50 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. Overall, o1 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 was developed as part of OpenAI's reasoning-focused model series, designed to spend more time thinking before responding. Built to excel at complex reasoning tasks in science, coding, and mathematics, it employs extended internal reasoning processes to solve harder problems than traditional language models through careful step-by-step analysis.
3 months newer
o1
OpenAI
2024-12-17
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
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
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GPT-4.1 nano
Average Score:46.9%
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o1
Average Score:75.3%(+28.4%)
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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
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GPT-4.1 nano
Avg Score:46.9%
Providers:1
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o1
Avg Score:75.3%(+28.4%)
Providers:2