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-3.1-Nemotron-Nano-8B-v1 is an 8-billion-parameter model from NVIDIA, developed as a fine-tuned variant of Meta's Llama 3.1 8B using NVIDIA's Nemotron post-training methodology, which applies reinforcement learning and process reward modeling to enhance instruction-following and reasoning capability over the base model. The Nano designation marks it as the entry-level member of the Nemotron family, optimized for efficient inference on a single GPU while delivering meaningfully improved performance on instruction alignment and agentic tasks compared to standard Llama 3.1. Released open-weight on HuggingFace, it is designed for deployment in NVIDIA-accelerated environments and supports NVIDIA NIM for enterprise inference.
7 months newer

Llama 3.1 Nemotron Nano 8B
NVIDIA
2025-01-06

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 3.1 Nemotron Nano 8B
GPT-5
Llama 3.1 Nemotron Nano 8B
GPT-5
Llama 3.1 Nemotron Nano 8B