Comprehensive side-by-side LLM comparison
GPT-5 Mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-5 mini, released by OpenAI in August 2025, is a smaller variant from the GPT-5 family that inherits GPT-5's unified reasoning architecture and multimodal capabilities at a reduced inference cost. It targets high-volume production use cases requiring a balance of intelligence and response speed, offering GPT-5 capabilities for applications where full GPT-5 inference costs are a concern.
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 Mini
OpenAI
2025-08
Context window and performance specifications
Available providers and their performance metrics
GPT-5 Mini
OpenAI
Llama-3.3 Nemotron Super 49B
GPT-5 Mini
Llama-3.3 Nemotron Super 49B
GPT-5 Mini
Llama-3.3 Nemotron Super 49B