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GPT-4.1 nano vs GPT-4.5
Comprehensive side-by-side LLM comparison
GPT-4.5 leads with 25.7% higher average benchmark score. GPT-4.1 nano offers 948.2K more tokens in context window than GPT-4.5. GPT-4.1 nano is $224.50 cheaper per million tokens. Overall, GPT-4.5 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
GPT-4.5 was developed as an intermediate advancement between GPT-4 and GPT-5, designed to incorporate incremental improvements in reasoning, factuality, and instruction-following. Built to bridge generational capabilities while maintaining compatibility with existing applications, it represents a refinement of the GPT-4 architecture with enhanced performance characteristics.
1 month newer
GPT-4.5
OpenAI
2025-02-27
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($224.50 cheaper)
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GPT-4.5
Input:$75.00
Output:$150.00
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
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GPT-4.1 nano
Average Score:39.2%
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GPT-4.5
Average Score:64.9%(+25.7%)
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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-4.5
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GPT-4.1 nano
Avg Score:39.2%
Providers:1
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GPT-4.5
Avg Score:64.9%(+25.7%)
Providers:1