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GPT-4.1 mini vs Nova Pro
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 5.7% higher average benchmark score. GPT-4.1 mini offers 480.3K more tokens in context window than Nova Pro. GPT-4.1 mini is $2.00 cheaper per million tokens. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
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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 mini
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1 mini
Input:$0.40
Output:$1.60($2.00 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 mini
Average Score:77.3%(+5.7%)
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Nova Pro
Average Score:71.7%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 mini
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 mini
2 providers
OpenAI
Throughput: 150 tok/s
Latency: 5ms
ZeroEval
Throughput: 150 tok/s
Latency: 5ms
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GPT-4.1 mini
Avg Score:77.3%(+5.7%)
Providers:2
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Nova Pro
Avg Score:71.7%
Providers:1