HunyuanVideo 1.5 vs Wan 2.2 2026

📡 AI News 2026-08-13 2 min read

Two Chinese tech giants published open video models within months of each other, and both are good. Which one deserves your GPU hours? The comparison depends on hardware, motion quality and ecosystem.

📜 Table of Contents

The Two Contenders

Tencent's HunyuanVideo (12,423 stars, fetched 2026-08-13) and Alibaba's Wan 2.2 (16,810 stars on the Wan2.1 repo) are the two serious open source video models of the 2025-2026 generation. Both do text-to-video and image-to-video; both render 720p; both shocked the community with quality that closed the gap to closed models. The difference is in the details that decide your workflow.

Hardware: The Deciding Factor

Wan 2.2 - the one-GPU story. The 5B models run on 8-12 GB, and the 14B quantized runs on a single 24 GB card. This is the pick for people who do not rent GPUs.

HunyuanVideo 1.5 - heavier. Full-quality inference wants a serious GPU (48-80 GB class for comfortable 720p); quantization gets you running on 24 GB with compromises. This is the pick for people with access to big hardware.

Motion Quality: The Judgment Call

Both handle complex motion well - a major step past the 2024 generation. Users generally describe Wan 2.2's temporal consistency as excellent for its size, while HunyuanVideo 1.5 shows an edge on intricate physical motion and longer coherence. On a 24 GB card, the practical comparison is not close: Wan 2.2 runs at full quality where HunyuanVideo runs quantized.

Text and Details

Ecosystem

Both have ComfyUI support and active Discord communities. Wan has the broader ecosystem of LoRAs and community workflows because its consumer-hardware accessibility attracted more users; HunyuanVideo's ecosystem is smaller but serious. If community assets matter to you, that asymmetry is worth counting.

The Verdict

Both are free, both are real, and both beat every closed API on price. The choice is hardware first, quality second.

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