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GPT-4.1 vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
GPT-4.1 leads with 25.7% higher average benchmark score. GPT-4.1 nano is $9.50 cheaper per million tokens. Overall, GPT-4.1 is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 represents an iterative improvement in the GPT-4 series, developed to refine the foundational capabilities established by GPT-4. Built to incorporate learnings and optimizations from the deployment of previous versions, it continues the evolution of OpenAI's flagship model line with enhanced reliability and performance.
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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.
Launched on the same date
GPT-4.1
OpenAI
2025-04-14
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
Input:$2.00
Output:$8.00
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GPT-4.1 nano
Input:$0.10
Output:$0.40($9.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 25 common benchmarks
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GPT-4.1
Average Score:59.8%(+25.7%)
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GPT-4.1 nano
Average Score:34.2%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
GPT-4.1
2024-06-01
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
1 providers
OpenAI
Throughput: 100 tok/s
Latency: 10ms
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GPT-4.1 nano
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GPT-4.1
Avg Score:59.8%(+25.7%)
Providers:1
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GPT-4.1 nano
Avg Score:34.2%
Providers:1