Open-Sora AI video generator
An open-source video generation project and training/inference framework inspired by Sora-style video models.
Should You Use Open-Sora?
Use it for: open research, training experiments, benchmark baselines
Skip or compare first if: Multiple OpenSora projects exist; keep this separate from Open-Sora-Plan. Not a polished C-end product.
Positioning: An open-source video generation project and training/inference framework inspired by Sora-style video models.
Top Capabilities
- Open frameworkThe project provides open code and model resources for video generation research.Source
- Primary source-backed profileOpen-Sora has an official source, repository, paper, or model card attached for verification.Source
- Open/self-hosted access pathOpen-Sora can be evaluated through open code, weights, or model-card resources when license terms allow.Source
Company Snapshot
Company profile is not yet attached to this model.
Price, Access, Open Status
Access: Open Weights, Research Only
Open/closed: Open.
Open-source/self-hosted; cost depends on compute.
Price, regional access, and commercial terms need a live check before cost-sensitive recommendations.
Latest Version
Open-Sora 1.x
2024 / partial
Early open Sora-style video generation project releases.
Why It Ranks Here
Rank: #32 56
Score source: Provisional quality proxy based on official/research evidence and catalogue presence; exact external rank requires live leaderboard/API collection.. Evidence confidence is medium.
Key Score Drivers
These are the scoring dimensions most responsible for the current ranking position.
- Model Quality Proxy: 61Provisional quality proxy based on official/research evidence and catalogue presence; exact external rank requires live leaderboard/API collection.
- Capability Depth: 70Supported workflow tags: t2v, i2v, open_weights, training. Depth rewards T2V/I2V/V2V, references, native audio, editing, API, and open weights where present.
- Ecosystem Popularity: 100GitHub snapshot includes 1 repo(s), 29,229 stars, 3,001 forks, 12 open issues, latest pushed 2026-04-09T01:52:40Z.
- Version Maturity: 482 version/history entries in the profile; latest public date is 2024-2025.
Alternatives And Comparisons
Use these when price, access, output style, or workflow fit is uncertain.
- SeedanceByteDance's frontier video generation family for multimodal, audio-video, short-form, and cinematic creator workflows.View modelCompare
- KlingKuaishou's broad AI video and image generation platform for text-to-video, image-to-video, native audio, references, and creator effects.View modelCompare
- PixVerseA creator-friendly AI video platform with strong API coverage for text-to-video, image-to-video, transitions, extension, and reference fusion.View modelCompare
- ViduShengShu Technology's video model family for native audio-video storytelling, image-to-video, and scene-oriented short-form production.View modelCompare
What It Is
Primary content is rendered into static HTML.
Open-Sora is an open research and engineering project from the HPC-AI/Colossal-AI ecosystem. It provides code, models, and training/inference workflows for open video generation.
It is not a consumer product, but it is important for open-source evaluation because it provides a public baseline and implementation path for researchers and developers.
Version Progress
- Open-Sora 1.xEarly open Sora-style video generation project releases.
Open / Source Evidence
Status: Open
Open code, weights, or model-card resources are listed; verify license terms before commercial use.
Latest News
Model-specific news entries link directly to the original publisher; article bodies stay off-site.
- Open-Sora GitHub repository External source link for this model. Open original
Full Score Breakdown
Weighted evidence dimensions separate model quality from access, web authority, ecosystem, and source confidence. See methodology and rankings.
| Dimension | Score | Weight | Evidence | Confidence |
|---|---|---|---|---|
| Model Quality Proxy | 61 | 24% | Provisional quality proxy based on official/research evidence and catalogue presence; exact external rank requires live leaderboard/API collection. | low |
| Capability Depth | 70 | 16% | Supported workflow tags: t2v, i2v, open_weights, training. Depth rewards T2V/I2V/V2V, references, native audio, editing, API, and open weights where present. | medium |
| Access And Pricing | 30 | 12% | Access types: open_weights, research_only. Pricing note: Open-source/self-hosted; cost depends on compute. | low |
| Version Maturity | 48 | 12% | 2 version/history entries in the profile; latest public date is 2024-2025. | medium |
| Ecosystem Popularity | 100 | 10% | GitHub snapshot includes 1 repo(s), 29,229 stars, 3,001 forks, 12 open issues, latest pushed 2026-04-09T01:52:40Z. | high |
| Web Authority | 28 | 10% | SEO snapshot found product domain github.com and company domain github.com; sampled sitemap URL count is unknown. No public source link is attached yet. |
medium |
| Company Distribution | 30 | 10% | Company profile is missing; distribution score is provisional. | low |
| Source Confidence | 78 | 6% | Profile source confidence is partial with 1 official URL(s), 1 feature evidence item(s), SEO present, GitHub present. | medium |
Limitations And Pricing
Open-source/self-hosted; cost depends on compute.