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GPT-4.1 nano vs GPT-4o
Comprehensive side-by-side LLM comparison
GPT-4o leads with 14.7% higher average benchmark score. GPT-4.1 nano offers 936.0K more tokens in context window than GPT-4o. GPT-4.1 nano is $12.00 cheaper per million tokens. Overall, GPT-4o 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
This updated version of GPT-4o was released with refinements to its multimodal capabilities and improved performance across text, vision, and audio tasks. Built to incorporate learnings from the initial GPT-4o deployment, it enhanced reliability and accuracy while maintaining the seamless cross-modal reasoning that defines the GPT-4o family.
8 months newer
GPT-4o
OpenAI
2024-08-06
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($12.00 cheaper)
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GPT-4o
Input:$2.50
Output:$10.00
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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GPT-4.1 nano
Average Score:39.0%
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GPT-4o
Average Score:53.7%(+14.7%)
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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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GPT-4o
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GPT-4.1 nano
Avg Score:39.0%
Providers:1
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GPT-4o
Avg Score:53.7%(+14.7%)
Providers:2