Comprehensive side-by-side LLM comparison
GPT-5 supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-5, released by OpenAI on August 7, 2025, is a large language model that combines direct generation and extended reasoning in a single unified system with a built-in routing mechanism. It features a 400K token context window, 128K maximum output tokens, native multimodal support (text, image, audio, video), and demonstrated strong results across coding, mathematics, visual understanding, and health benchmarks at release. GPT-5 targets complex multi-step tasks including advanced coding, mathematical problem solving, and long-context analysis.
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-5
OpenAI
2025-08-07
Context window and performance specifications
GPT-5
2025-05
Available providers and their performance metrics
GPT-5
OpenAI
Llama-3.3 Nemotron Super 49B
GPT-5
Llama-3.3 Nemotron Super 49B
GPT-5
Llama-3.3 Nemotron Super 49B