Open-weight models keep arriving, and they matter for a simple reason: you can run them on your own hardware instead of sending client data to a vendor's cloud.

On October 29, Mistral published the weights for Mistral Large 4 , a roughly 1-trillion-parameter multimodal model with about 52 billion active parameters and a 1-million-token context.

Two weeks earlier, Meta released Muse Spark Open (816 billion total, 42 billion active).

NVIDIA also shipped Nemotron 3.5 Super VL (120 billion total, 12 billion active) and Nemotron 3.5 Bolt, built to run everyday agent work locally in 24 GB. Liquid AI's LFM3, out October 27, is a 1.7-billion-parameter text model that takes about 1 GB at 4-bit, so it can run on a laptop or a phone.

That range is the story for a small business. Keep sensitive work on-prem, control cost, and stay online if a hosted API goes down or refuses a legitimate security task.

Read the licence first.…