LongCat-Video and Wan 2.2: Two Open-Weight Video Generation Models Compared
A source-based comparison of LongCat-Video (13.6B DiT, 720p/30fps, up to 5-minute generations) and Wan 2.2 (Alibaba's open-weight MoE video model, 27B total/14B active, plus 5B consumer-GPU model). Both open licenses; covers architecture, duration, resolution, deployment, and licensing.
Independent third-party resource. Not affiliated with or endorsed by LongCat, Meituan, DeepSeek, or any other publisher discussed on this page.
Published: 2026-08-24 · Author: LongCat Community Hub editorial team
This is an independent, source-based comparison of LongCat-Video (Meituan) and Wan 2.2 (Alibaba) — an open-weight versus open-weight comparison, the video-line companion to the LongCat-Image vs Qwen-Image 2.0 comparison on this site. It compares documented architecture, duration and resolution limits, deployment requirements, and licensing. It does not report performance as a verdict — for publisher-reported scores, see the individual model pages and benchmark index linked below. Every claim on this page is sourced from the linked publisher documentation or attributed third-party coverage.
| Dimension | LongCat-Video | Wan 2.2 |
|---|---|---|
| Developer | Meituan (LongCat team) | Alibaba (Tongyi / Wan team) |
| Release date | October 2025 | July 2025 (2.2 open release) |
| Parameters | 13.6B (dense DiT) | 27B total / ~14B active (MoE); plus 5B unified model |
| Architecture | DiT + Block Sparse Attention, documented (arXiv:2510.22200) | MoE video diffusion (high-noise + low-noise experts), documented |
| Generation modes | Text-to-video, image-to-video, video continuation | T2V-A14B, I2V-A14B, unified TI2V-5B (T2V + I2V in one) |
| Max duration | Up to 5 minutes (~9,000 frames) | Documented clips on the order of 5 seconds (open weights) |
| Resolution / FPS | 720p at 30fps | 720p at 24fps (5B model); 480p/720p (14B models) |
| Consumer-GPU path | Server-grade GPU recommended (13.6B) | Yes — TI2V-5B on ≥24GB consumer GPU (~22GB VRAM, 5s clip in under 9 min) |
| Audio generation | Not documented in the video model | Not in the open 2.2 weights (audio arrives in hosted 2.5+/3.0 lines) |
| License | Open source (weights + inference code public) | Apache 2.0 (open weights, commercial use permitted) |
| Deployment | Self-hosted; GitHub/HuggingFace/ModelScope | Self-hosted (GitHub/HuggingFace/ModelScope); Alibaba Cloud API for newer lines |
Two Open-Weight Video Models, Two Architectures
Wan 2.2, released open-source by Alibaba's Tongyi lab in July 2025, is notable for being the first video-generation model family to use a Mixture-of-Experts diffusion architecture: the 14B-class models (T2V-A14B, I2V-A14B) route denoising between a high-noise expert for composition and a low-noise expert for detail, totaling ~27B parameters while activating roughly 14B per step. A unified TI2V-5B model pairs a dense 5B backbone with a high-compression video VAE, enabling 720p/24fps generation on a single consumer GPU.
LongCat-Video, released October 2025, is a 13.6B dense Diffusion Transformer with Block Sparse Attention, documented in its technical report, with weights and inference code public. Its headline difference is duration: temporal consistency across scenes up to 5 minutes (~9,000 frames), which is a different capability class from Wan 2.2's documented ~5-second open clips. Both are Chinese-developed open-weight models, making this a structural comparison of two open approaches rather than an open-vs-closed contrast.
Deployment: Consumer GPU vs Long-Form
Wan 2.2's 5B model is the more accessible deployment story: official guidance puts it at roughly 22–24GB VRAM on a single consumer GPU, generating a 5-second 720p clip in under nine minutes without specialized optimization. The 14B MoE models are heavier (officially ~80GB VRAM in the reference implementation), and quantization variants lower that floor.
LongCat-Video's 13.6B model documents 720p/30fps generation but recommends server-grade GPU hardware. Its differentiator is not hardware efficiency but generation span: 5-minute continuous scenes versus Wan's short clips. Teams choose between a consumer-GPU short-clip tool and a long-form model that needs a bigger machine — different production profiles rather than a simple quality ranking.
The Wan Version Landscape
Wan 2.2 is the latest official open-weight release in the Wan family, but Alibaba's hosted lines have advanced further: 2.5/2.6/2.7 are hosted API generations with native audio and longer durations, and Wan 3.0 is the hosted flagship (up to 30 seconds, native audio, 20 multimodal references). Teams comparing against LongCat-Video should be careful about which "Wan" they mean: the open 2.2 weights compared here are older and lack audio, while the hosted lines are a different (closed) product class.
This matters for fair comparison: LongCat-Video's open weights are its shipping product, while Wan's most advanced capabilities sit behind Alibaba's API. The open-vs-open comparison on this page holds for the downloadable models; teams wanting Wan's audio and longer durations would be evaluating a hosted service, which is a different decision.
This comparison is based on publicly available documentation accessed on 2026-08-24. LongCat-Video specifications are from its technical report and GitHub repository. Wan 2.2 specifications are from the open-release coverage and attributed technical guides.
This is a feature-level comparison, not a performance evaluation. This site has not independently tested either model. Capability claims are publisher-reported or independently attributed as noted and have not been independently verified by this site.
Wan versions differ significantly between open weights and hosted lines; the comparison on this page covers the open 2.2 release only. Verify current terms, licenses, and availability on each vendor's official documentation before deployment.
Related pages
- LongCat-Video model profile
Full technical brief covering architecture, training, benchmarks, and deployment options.
- LongCat-Video vs Seedance 2.5 comparison
The closed-flagship comparison, for the open-vs-closed contrast.
- LongCat-Image vs Qwen-Image 2.0 comparison
The image-line open-vs-open companion, against Alibaba's image model.
- LongCat-2.0 model profile
The flagship language model that shares the LongCat product family.
Related comparisons in this series
- LongCat-Video and Seedance 2.5: Open-Weight vs Closed Video Generation Compared
A source-based comparison of LongCat-Video (13.6B open-weight DiT, 720p/30fps, text/image-to-video, up to 5-minute generations, self-hostable) and Seedance 2.5 (ByteDance's closed video flagship, 30s native output, 50 multimodal references, built-in audio). Covers architecture, duration, resolution, pricing, licensing, and deployment.
- LongCat-Video and Seedance 2.0: Open-Weight vs Closed Video Generation Compared
A source-based comparison of LongCat-Video (13.6B open-weight DiT, 720p/30fps, up to 5-minute generations, self-hostable) and Seedance 2.0 (ByteDance's closed video model, 4-15s clips, native audio, 480p-1080p). Covers architecture, duration, audio, pricing, licensing, and deployment — the predecessor of Seedance 2.5.
Sources
- LongCat-Video Technical Report (arXiv:2510.22200)
Primary sourcePublished 2025-10-24Accessed 2026-08-24
Technical report describing the 13.6B DiT architecture, coarse-to-fine generation, Block Sparse Attention, and multi-reward RLHF training.
- LongCat-Video GitHub Repository
Primary sourceAccessed 2026-08-24
Model weights, inference code, and license for LongCat-Video; supports T2V, I2V, and video continuation.
- Wan 2.2 open-source release (AIBase)
Third-partyPublished 2025-07-29Accessed 2026-08-24
Coverage of the Wan 2.2 open release: first MoE video diffusion models (T2V-A14B, I2V-A14B at 27B total/14B active), unified TI2V-5B consumer-GPU model (22GB VRAM, 720p 24fps), cinematic aesthetics control.
- Wan 2.2 GPU requirements (Hivenet)
Third-partyAccessed 2026-08-24
Technical guide: Apache 2.0 license, 14B MoE models need ~80GB VRAM officially, TI2V-5B runs on ≥24GB consumer GPU (5s 720p in under 9 min), expanded family (S2V-14B, Animate-14B).
- Wan model family overview (wan2-7.io)
Third-partyAccessed 2026-08-24
Clarifies Wan version landscape: Wan 2.2 is the latest official open-weight release; 2.5/2.6/2.7 are hosted API lines; 3.0 is the hosted flagship with native audio.
Independent third-party disclosure
This page is published by an independent third-party site. It is not affiliated with, endorsed by, sponsored by, or operated by Meituan, LongCat, or any of their affiliates. The content summarizes publicly-available primary documentation and does not represent the views of any referenced organization.
Last reviewed: 2026-08-24