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GPT-4.1 nano vs Nemotron Nano 9B v2
Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 14.8% higher average benchmark score. GPT-4.1 nano supports multimodal inputs. Overall, Nemotron Nano 9B v2 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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NVIDIA
Nemotron Nano 9B v2 is a language model developed by NVIDIA. It achieves strong performance with an average score of 77.0% across 6 benchmarks. It excels particularly in MATH-500 (97.8%), IFEval (90.3%), AIME 2025 (72.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents NVIDIA's latest advancement in AI technology.
4 months newer
GPT-4.1 nano
OpenAI
2025-04-14
Nemotron Nano 9B v2
NVIDIA
2025-08-18
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-4.1 nano
Average Score:62.4%
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Nemotron Nano 9B v2
Average Score:77.2%(+14.8%)
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
Nemotron Nano 9B v2
2024-09
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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Nemotron Nano 9B v2
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GPT-4.1 nano
Avg Score:62.4%
Providers:1
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Nemotron Nano 9B v2
Avg Score:77.2%(+14.8%)
Providers:0