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GPT OSS 120B vs Llama 3.1 Nemotron 70B Instruct
Comprehensive side-by-side LLM comparison
GPT OSS 120B leads with 9.8% 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
Llama 3.1 Nemotron 70B was developed by NVIDIA through customization of Meta's Llama 3.1 70B, designed to enhance performance for specific use cases and deployments. Built with NVIDIA's optimizations and fine-tuning expertise, it demonstrates how foundation models can be adapted for specialized applications.
10 months newer
Llama 3.1 Nemotron 70B Instruct
NVIDIA
2024-10-01
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:90.0%(+9.8%)
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Llama 3.1 Nemotron 70B Instruct
Average Score:80.2%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron 70B Instruct
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:90.0%(+9.8%)
Providers:5
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Llama 3.1 Nemotron 70B Instruct
Avg Score:80.2%
Providers:0