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GPT-4.1 nano vs Nova Micro
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT-4.1 nano offers 824.3K more tokens in context window than Nova Micro. Both models have similar pricing. GPT-4.1 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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 Micro was created as an ultra-compact multimodal model, designed for deployment in resource-constrained environments. Built to bring text and image understanding to edge devices and latency-sensitive applications, it extends Amazon's AI capabilities to minimal footprint scenarios.
4 months newer
Nova Micro
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
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Nova Micro
Input:$0.03
Output:$0.14($0.33 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4.1 nano
Average Score:68.3%(+0.0%)
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Nova Micro
Average Score:68.3%
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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 Micro
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GPT-4.1 nano
Avg Score:68.3%(+0.0%)
Providers:1
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Nova Micro
Avg Score:68.3%
Providers:1