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GPT OSS 120B vs Llama 3.1 Nemotron Ultra 253B v1
Comprehensive side-by-side LLM comparison
GPT OSS 120B leads with 4.1% higher average benchmark score. GPT OSS 120B is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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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
Llama 3.1 Nemotron Ultra 253B was developed as NVIDIA's largest Nemotron variant, designed to provide maximum capability through extensive customization of large-scale foundations. Built with 253 billion parameters and NVIDIA's specialized training, it represents the flagship offering in the Nemotron family.
4 months newer
Llama 3.1 Nemotron Ultra 253B v1
NVIDIA
2025-04-07
GPT OSS 120B
OpenAI
2025-08-05
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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%(+4.1%)
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Llama 3.1 Nemotron Ultra 253B v1
Average Score:76.0%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Ultra 253B v1
2023-12-01
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%(+4.1%)
Providers:5
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Llama 3.1 Nemotron Ultra 253B v1
Avg Score:76.0%
Providers:0