Best Local LLMs You Can Run on a Single 24GB GPU in 2026: Qwen, Gemma, Mistral, DeepSeek Compared

A 24GB GPU is the practical minimum for running capable AI language models locally on consumer hardware. Several modern language models in the 20B to 35B parameter range fit on this tier of GPU when compressed with standard quantization techniques, leaving room for processing longer text and maintaining reasonable response speeds. Memory during inference is consumed by three factors: the model weights themselves, the KV cache that grows with context length, and runtime overhead from the serving software. The article compares six specific open-weight models suited to this hardware tier, organized by their strengths in tasks like general chat, coding, reasoning, and multimodal input.