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GPT-4 vs GPT-5 nano
Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 35.5% higher average benchmark score. GPT-5 nano offers 462.5K more tokens in context window than GPT-4. GPT-5 nano is $89.55 cheaper per million tokens. Overall, GPT-5 nano is the stronger choice for coding tasks.
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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-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
2 years newer
GPT-4
OpenAI
2023-06-13
GPT-5 nano
OpenAI
2025-08-07
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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-5 nano
Input:$0.05
Output:$0.40($89.55 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-4
Average Score:35.7%
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GPT-5 nano
Average Score:71.2%(+35.5%)
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Knowledge Cutoff
Training data recency comparison
GPT-4
2022-12-31
GPT-5 nano
2024-05-30
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:35.7%
Providers:2
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GPT-5 nano
Avg Score:71.2%(+35.5%)
Providers:2