Comprehensive side-by-side LLM comparison
GPT-4o supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-4o, released by OpenAI in May 2024, is a multimodal large language model from the GPT-4 family that natively processes text, image, and audio inputs in a single end-to-end model. It features a 128K token context window and demonstrated competitive performance across coding, reasoning, and vision benchmarks at its release. GPT-4o targets general-purpose assistant applications, vision-enabled workflows, and use cases requiring low-latency multimodal understanding.
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.
9 months newer

GPT-4o
OpenAI
2024-05-13

Llama-3.3 Nemotron Super 49B
NVIDIA
2025-03-01
Context window and performance specifications
GPT-4o
2024-04
Available providers and their performance metrics
GPT-4o
OpenAI
Llama-3.3 Nemotron Super 49B
GPT-4o
Llama-3.3 Nemotron Super 49B
GPT-4o
Llama-3.3 Nemotron Super 49B