LTX-2.5 vs MiniMax H3: Two New Local AI Video Models in ComfyUI

LTX-2.5 and MiniMax H3 arrived within days of each other, and both can generate video and audio through official ComfyUI templates. In this first look, I open the basic local workflows, run the included starting points, play both demo results, and explain what I want to test next. This is not a scientific benchmark and I am not declaring a winner. LTX-2.5 interests me for its improved distilled model, diffusion fidelity rendering, and connected multishot generation. MiniMax H3 interests me for native stereo audio, multimodal references, first-and-last-frame control, and its reference-driven workflows. The important question is not simply which model is better. It is which one is better for a specific production job. Which deeper test should come first: subject consistency, dialogue and lip sync, image-to-video, multishot generation, or reference workflows? Chapters 00:00 Opening demos 00:10 LTX-2.5 and MiniMax H3 introduction 00:50 Why these two models matter 01:46 LTX-2.5 first look 04:59 MiniMax H3 first look 07:44 Different strengths, no winner yet 08:33 What we test next 09:23 Final thoughts AI Disclosure This video contains machine-generated demonstration footage created with LTX-2.5 and MiniMax H3. The host narration, testing, editorial choices, and final edit are original Baynum Tech Works production work.