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GPT OSS 120B vs Nemotron Nano 9B v2
Comprehensive side-by-side LLM comparison
GPT OSS 120B leads with 16.1% higher average benchmark score. GPT OSS 120B is available on 5 providers. Overall, GPT OSS 120B is the stronger choice for coding tasks.
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OpenAI
GPT-OSS 120B was developed as an open-source model release from OpenAI, designed to provide the research and developer community with access to a capable language model. Built with 120 billion parameters, it enables experimentation, fine-tuning, and deployment in contexts where open-source licensing and transparency are valued.
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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.
13 days newer
GPT OSS 120B
OpenAI
2025-08-05
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 OSS 120B
Average Score:80.1%(+16.1%)
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Nemotron Nano 9B v2
Average Score:64.0%
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Knowledge Cutoff
Training data recency comparison
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 OSS 120B
5 providers
DeepInfra
Groq
Throughput: 500 tok/s
Latency: 0.5ms
Novita
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
ZeroEval
Throughput: 500 tok/s
Latency: 0.5ms
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GPT OSS 120B
Avg Score:80.1%(+16.1%)
Providers:5
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Nemotron Nano 9B v2
Avg Score:64.0%
Providers:0