bestOsVideoModels2026.h1

The industry's first open-source video model with Mixture-of-Experts (MoE) architecture. Specialized high-noise and low-noise experts handle layout and detail separately — expanding capacity without increasing inference cost. Try it on WaveSpeed or explore the Wan 2.6 landing page.

The TeaCache-accelerated version of Wan 2.1, delivering 720P HD video generation 30% faster while maintaining state-of-the-art quality. Runs on as little as 8GB VRAM locally, or instantly on WaveSpeed. See more on the Wan 2.5 landing page.

A 13-billion-parameter model that rivals closed-source systems in cinematic realism. Trained with a Causal 3D VAE and strong temporal consistency — produces 15-second clips at 720P with audio integration. Available on WaveSpeed.

Optimized for speed on mid-tier GPUs. Runs on as little as 12GB VRAM, integrates with ComfyUI, and supports text-to-video, image-to-video, and video-to-video — making it one of the most versatile lightweight options. Learn more on the LTX 2 landing page.

A 10-billion-parameter diffusion model using the Asymmetric Diffusion Transformer (AsymmDiT) architecture. Excels at photorealistic rendering with strong LoRA fine-tuning support. Run it on WaveSpeed.

A community-driven fine-tune of HunyuanVideo, trained on 10M+ high-quality film and TV clips. Specializes in lifelike human characters with 33 facial expressions and 400+ movement combinations. Available on WaveSpeed.