Model profile

MiracleVision AI video generator

Meitu's visual AI model suite with image and video generation/editing capabilities for creators and design workflows.

Decision Snapshot

Score: 63

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.

Best For

  • Visual Design Workflows
  • Image-Video Creation
  • China-Market Coverage

Supported Workflows

  • Image Generation
  • Video Generation
  • Video Editing

Access And Company

Built by Meitu. Public access is listed as Closed Web, Closed Api.

Entry Points

Score Breakdown

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

DimensionScoreWeightEvidenceConfidence
Model Quality Proxy 62 24% Provisional quality proxy based on official/research evidence and catalogue presence; exact external rank requires live leaderboard/API collection. low
Missing: live Artificial Analysis rank/Elo by modality, live Arena AI rank/score by modality
Capability Depth 45 16% Supported workflow tags: image_generation, video_generation, video_editing. 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: closed_web, closed_api. Pricing note: Pricing depends on Meitu product surface and enterprise/API access. medium
Missing: current free tier, normalized price per video minute
Version Maturity 48 12% 2 version/history entries in the profile; latest public date is 2024-2026. medium
Missing: automated release-note monitor, model ID/version mapping across providers
Ecosystem Popularity 68 10% GitHub stars are not applicable to this closed or research-only product unless an official public model repository is confirmed.

No public source link is attached yet.

medium
Missing: GitHub: n/a for closed-source model
Web Authority 80 10% SEO snapshot found product domain miraclevision.com and company domain meitu.com; sampled sitemap URL count is 29. medium
Missing: Similarweb/API traffic, Tranco rank
Company Distribution 70 10% Meitu distribution profile: Meitu is useful to track for consumers who care about beauty, portrait, design, and social content workflows, though MiracleVision is broader than a single frontier text-to-video model.. medium
Missing: app store ratings/review volume, product MAU/traffic
Source Confidence 79 6% Profile source confidence is watchlist with 2 official URL(s), 1 feature evidence item(s), SEO present, GitHub n/a. medium
Missing: paid/API evidence refresh, manual output review artifacts

What It Is

Primary content is rendered into static HTML.

MiracleVision is Meitu's visual model family and product suite. It is broader than a single AI video generator, covering image, design, and video creation/editing workflows.

For this site, MiracleVision should be included as a China-market visual model suite, but exact video base-model names and version history need more official verification before placing it in the core leaderboard.

Key Features

  • Visual model suiteMiracleVision is positioned by Meitu as a broad visual AI product/model ecosystem.Source
  • Primary source-backed profileMiracleVision has an official source, repository, paper, or model card attached for verification.Source
  • Workflow coverageMiracleVision is tracked for image_generation, video_generation, video_editing workflows in the catalogue.Source

Version Progress

  • 2024-2026 / partial / partialMiracleVision video capabilitiesVideo generation/editing capabilities expanded inside the broader visual model suite.
  • 2023 / partial / partialMiracleVision 1.0Public Meitu visual model line.

Latest News

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

Limitations And Pricing

Pricing depends on Meitu product surface and enterprise/API access.

  • Not Yet Clearly Separable As A Standalone Video Foundation Model.
  • Needs Exact Model Names And Release Dates.