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GPT OSS 20B vs Llama-3.3 Nemotron Super 49B v1
Comprehensive side-by-side LLM comparison
GPT OSS 20B leads with 4.8% higher average benchmark score. GPT OSS 20B is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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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
Llama 3.3 Nemotron Super 49B was created through NVIDIA's optimization of Llama 3.3, designed to provide a balanced option with 49 billion parameters. Built to serve as a versatile mid-to-large-scale offering, it combines NVIDIA's customization expertise with Meta's foundation architecture.
4 months newer
Llama-3.3 Nemotron Super 49B v1
NVIDIA
2025-03-18
GPT OSS 20B
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 20B
Average Score:71.5%(+4.8%)
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Llama-3.3 Nemotron Super 49B v1
Average Score:66.7%
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Knowledge Cutoff
Training data recency comparison
Llama-3.3 Nemotron Super 49B v1
2023-12-31
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%(+4.8%)
Providers:4
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Llama-3.3 Nemotron Super 49B v1
Avg Score:66.7%
Providers:0