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-3.1-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.
6 months newer

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

GPT-5 Mini
OpenAI
2025-08
Context window and performance specifications
Available providers and their performance metrics
GPT-5 Mini
OpenAI
Llama 3.1 Nemotron Nano 8B
GPT-5 Mini
Llama 3.1 Nemotron Nano 8B
GPT-5 Mini
Llama 3.1 Nemotron Nano 8B