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GPT-4 vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 4.1% higher average benchmark score. GPT-4.1 nano offers 1.0M more tokens in context window than GPT-4. GPT-4.1 nano is $89.50 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4 was created as a large multimodal model capable of accepting image and text inputs while producing text outputs. Developed to exhibit human-level performance on various professional and academic benchmarks, it marked a significant advancement in reliability, creativity, and handling of nuanced instructions compared to its predecessors.
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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.
1 year newer
GPT-4
OpenAI
2023-06-13
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
Input:$30.00
Output:$60.00
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GPT-4.1 nano
Input:$0.10
Output:$0.40($89.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-4
Average Score:61.1%
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GPT-4.1 nano
Average Score:65.2%(+4.1%)
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Knowledge Cutoff
Training data recency comparison
GPT-4
2022-12-31
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
2 providers
Azure
Throughput: 104 tok/s
Latency: 0.3ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-4
Avg Score:61.1%
Providers:2
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GPT-4.1 nano
Avg Score:65.2%(+4.1%)
Providers:1