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GPT-4.1 nano vs Nova Pro
Comprehensive side-by-side LLM comparison
Nova Pro leads with 6.6% higher average benchmark score. GPT-4.1 nano offers 480.3K more tokens in context window than Nova Pro. GPT-4.1 nano is $3.50 cheaper per million tokens. Overall, Nova Pro 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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Amazon
Amazon Nova Pro was developed as the flagship model in the Nova family, designed to provide advanced multimodal understanding across text, images, and other modalities. Built to handle complex tasks requiring sophisticated reasoning, it represents Amazon's most capable offering for enterprise applications.
4 months newer
Nova Pro
Amazon
2024-11-20
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($3.50 cheaper)
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Nova Pro
Input:$0.80
Output:$3.20
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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GPT-4.1 nano
Average Score:65.1%
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Nova Pro
Average Score:71.7%(+6.6%)
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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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Nova Pro
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GPT-4.1 nano
Avg Score:65.1%
Providers:1
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Nova Pro
Avg Score:71.7%(+6.6%)
Providers:1