Model profile

CogVideoX AI video generator

An influential open video generation model family from the THUDM/Zhipu ecosystem, useful as a research and self-hosted baseline.

Decision Snapshot

Score: 75

Score source: CogVideoX is a strong open baseline with paper/repository evidence; current commercial leaderboard relevance is lower.. Evidence confidence is high.

Best For

  • Open-Source Benchmarking
  • Self-Hosted T2V
  • Self-Hosted I2V
  • Academic Comparisons

Supported Workflows

  • T2v
  • I2v
  • Open Weights

Access And Company

Built by Zhipu AI / THUDM. Public access is listed as Open Weights, Aggregator.

Entry Points

Score Breakdown

Weighted evidence dimensions separate model quality from access, web authority, ecosystem, and source confidence.

DimensionScoreWeightEvidenceConfidence
Model Quality Proxy 74 24% CogVideoX is a strong open baseline with paper/repository evidence; current commercial leaderboard relevance is lower. high
Missing: live Artificial Analysis rank/Elo by modality, live Arena AI rank/score by modality
Capability Depth 67 16% Supported workflow tags: t2v, i2v, open_weights. Depth rewards T2V/I2V/V2V, references, native audio, editing, API, and open weights where present. medium
Missing: hands-on feature verification, mode-specific limits by duration/resolution
Access And Pricing 70 12% Access types: open_weights, aggregator. Pricing note: Open weights can be self-hosted. Cost is mainly GPU hardware, cloud inference, or third-party hosting fees. medium
Missing: current free tier, normalized price per video minute
Version Maturity 97 12% 5 version/history entries in the profile; latest public date is 2024-11-08. high
Missing: automated release-note monitor, model ID/version mapping across providers
Ecosystem Popularity 100 10% GitHub snapshot includes 1 repo(s), 12,924 stars, 1,319 forks, 115 open issues, latest pushed 2025-11-04T11:19:04Z. high
Missing: Hugging Face downloads/likes, Replicate/fal usage/runs
Web Authority 38 10% SEO snapshot found product domain github.com and company domain zhipuai.cn; sampled sitemap URL count is unknown. medium
Missing: Similarweb/API traffic, Tranco rank
Company Distribution 62 10% Zhipu AI / THUDM distribution profile: CogVideoX is most relevant for developers, researchers, and technically comfortable creators who want open video models they can inspect, fine-tune, or run in community tooling.. medium
Missing: app store ratings/review volume, product MAU/traffic
Source Confidence 100 6% Profile source confidence is confirmed with 2 official URL(s), 3 feature evidence item(s), SEO present, GitHub present. high
Missing: paid/API evidence refresh, manual output review artifacts

What It Is

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CogVideoX is an open video generation family from the THUDM/Zhipu ecosystem. It evolved from the earlier CogVideo research line into practical open checkpoints for text-to-video and image-to-video.

CogVideoX is important for a benchmark site because it gives developers an accessible baseline for open-model comparison. The 1.5 release improved resolution and quality, while I2V variants widened its use beyond pure text prompts.

For consumers, CogVideoX is less polished than closed web products, but it matters for users who prefer self-hosting, community tools, or open experimentation.

Key Features

  • Open weights and codeThe official repository provides code and model resources for CogVideo and CogVideoX.Source
  • T2V and I2V checkpointsCogVideoX includes text-to-video and image-to-video variants.Source
  • Research lineageCogVideoX is backed by a technical paper and earlier CogVideo research.Source

Version Progress

  • 2023 / confirmed / confirmedCogVideoEarlier large-scale text-to-video research line.

Latest News

Model-specific news entries link directly to the original publisher; article bodies stay off-site.

Limitations And Pricing

Open weights can be self-hosted. Cost is mainly GPU hardware, cloud inference, or third-party hosting fees.

  • Consumer UX Depends On Wrappers Such As ComfyUI Or Hosted Spaces.
  • License And Model-Card Terms Should Be Checked Per Checkpoint.