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Nemotron Nano 9B v2 vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 19.0% higher average benchmark score. o4-mini supports multimodal inputs. Overall, o4-mini is the stronger choice for coding tasks.
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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.
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OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
4 months newer
o4-mini
OpenAI
2025-04-16
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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Nemotron Nano 9B v2
Average Score:68.0%
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o4-mini
Average Score:87.1%(+19.0%)
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Knowledge Cutoff
Training data recency comparison
o4-mini
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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Nemotron Nano 9B v2
0 providers
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o4-mini
1 providers
OpenAI
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Nemotron Nano 9B v2
Avg Score:68.0%
Providers:0
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o4-mini
Avg Score:87.1%(+19.0%)
Providers:1