CogVideoX
Model for generating videos from text prompts or images with flexible input options
- Also known as
- cogvideox
What is CogVideoX?
An open source video generation model supporting text-to-video, image-to-video, and video continuation modes with optimizations for efficient inference.
CogVideoX pricing
We don't have CogVideoX's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
What CogVideoX does
The capabilities that matter for ai video generation, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Architecture model
- Foundational model research
- Generation focus
- -
- Text to video and image to video keyframing
- ✓
- Photorealistic lip sync and human micro expressions
- -
- Custom digital twin avatar training from webcam
- -
- Automatic translated dubbing retaining original voice
- -
- Temporal consistency for multi shot narrative continuity
- -
- Camera motion control panning tilting and zoom
- -
- Video to video style transfer and rotoscoping
- -
- Watermarking and deepfake generation safety filters
- -
- SOC2 type ii
- -
- ISO 27001
- -
- Pricing model
- -
Platform & deployment
Independently observed- Cloud / SaaS
- Self-hosted
CogVideoX alternatives
Other ai video generation we track, ranked by the same independent score.
- OpenAI Soralow · 42%
- D-IDGenerates photorealistic video content featuring AI avatars that speak and interact naturallymedium · 55%
- DeepBrain AIlow · 18%
- Colossyanlow · 6%
- Steve.AIlow · 20%
- Google VeoA video generation model that creates videos from text, images, and audio prompts with realistic physicslow · 8%
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for CogVideoX, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 29 | 0.08 | 2.3 | ✓ |
| Stars | 78 | 0.03 | 2.0 | ✓ |
| Integrations | 0 | 0.07 | 0.0 | - |
| Dependent projects | 0 | 0.06 | 0.0 | - |
| Development activity | 0 | 0.09 | 0.0 | ✓ |
| Release cadence | 0 | 0.05 | 0.0 | - |
| Security posture | 0 | 0.07 | 0.0 | - |
| Package downloads | 0 | 0.14 | 0.0 | - |
| Security score | 0 | 0.04 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 0 | mediumsource · 2026-08-31 · 65% |
Adoption
| Attribute | Value | Evidence |
|---|---|---|
| Github stars | 12,988 | highsource · 2026-08-31 · 90% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Architecture model: foundational_model_research · Text to video and image to video keyframing: Yes | mediumsource · 2026-08-31 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-08-31 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-08-31 · 95% |
Pricing
Release
| Attribute | Value | Evidence |
|---|---|---|
| History | 1 items | mediumsource · 2026-08-31 · 70% |
Security
| Attribute | Value | Evidence |
|---|---|---|
| Trust center | https://github.com/security | mediumsource · 2026-08-31 · 60% |