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GPT OSS 20B vs Nemotron Nano 9B v2
Comprehensive side-by-side LLM comparison
GPT OSS 20B leads with 7.5% higher average benchmark score. GPT OSS 20B is available on 4 providers. Overall, GPT OSS 20B is the stronger choice for coding tasks.
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OpenAI
GPT-OSS 20B was created as a smaller open-source variant, designed to balance capability with accessibility for researchers and developers. Built with 20 billion parameters, it provides a more approachable entry point for those seeking to work with open-source language models while benefiting from OpenAI's architectural insights.
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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 20B
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 20B
Average Score:71.5%(+7.5%)
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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 20B
4 providers
Groq
Throughput: 1000 tok/s
Latency: 0.38ms
Novita
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
ZeroEval
Throughput: 1000 tok/s
Latency: 0.38ms
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GPT OSS 20B
Avg Score:71.5%(+7.5%)
Providers:4
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Nemotron Nano 9B v2
Avg Score:64.0%
Providers:0