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-3.1-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

GPT-4o
OpenAI
2024-05-13

Llama 3.1 Nemotron Nano 8B
NVIDIA
2025-01-06
Context window and performance specifications
GPT-4o
2024-04
Available providers and their performance metrics
GPT-4o
OpenAI
Llama 3.1 Nemotron Nano 8B
GPT-4o
Llama 3.1 Nemotron Nano 8B
GPT-4o
Llama 3.1 Nemotron Nano 8B