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GPT-4o mini vs Nemotron Nano 9B v2
Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 23.8% higher average benchmark score. GPT-4o mini supports multimodal inputs. Overall, Nemotron Nano 9B v2 is the stronger choice for coding tasks.
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OpenAI
GPT-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
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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.
1 year newer
GPT-4o mini
OpenAI
2024-07-18
Nemotron Nano 9B v2
NVIDIA
2025-08-18
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-4o mini
Average Score:40.2%
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Nemotron Nano 9B v2
Average Score:64.0%(+23.8%)
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
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-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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Nemotron Nano 9B v2
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GPT-4o mini
Avg Score:40.2%
Providers:1
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Nemotron Nano 9B v2
Avg Score:64.0%(+23.8%)
Providers:0