Comprehensive side-by-side LLM comparison
. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-OSS-20B is an open-weight large language model with 20 billion parameters from OpenAI's open-source model initiative. It targets deployments requiring a smaller, efficient model that can run on consumer or mid-tier hardware while maintaining strong reasoning and coding capabilities relative to its size.
NVIDIA
Llama-3.3-Nemotron-Super-49B-v1 is a 49-billion-parameter model from NVIDIA, fine-tuned from Meta's Llama 3.3 using NVIDIA's Nemotron post-training pipeline that combines supervised fine-tuning with reinforcement learning to enhance reasoning, instruction alignment, and complex problem-solving. The Super tier in the Nemotron family represents a mid-range capability level — positioned above the Nano series and below the Ultra 253B flagship — offering a balance between high-quality outputs and manageable inference infrastructure requirements. Released open-weight on HuggingFace with NVIDIA NIM support, it targets teams with multi-GPU setups who need strong reasoning capability without the scale of the Ultra model.
5 months newer

Llama-3.3 Nemotron Super 49B
NVIDIA
2025-03-01

GPT-OSS-20B
OpenAI
2025-08-05
Context window and performance specifications
Available providers and their performance metrics
GPT-OSS-20B
Hugging Face
Llama-3.3 Nemotron Super 49B
GPT-OSS-20B
Llama-3.3 Nemotron Super 49B
GPT-OSS-20B
Llama-3.3 Nemotron Super 49B