Project AURIONAI Use-Cases Research & Innovation
Alibaba (Qwen)
image generation

Z-Image Turbo

Alibaba Tongyi-MAI 6B open image model, Apache 2.0, 623k Hugging Face downloads.

Collage of photo-realistic example images generated by Z-Image Turbo.
Levelmodel
Classimage generation
Parameters6B
Contextnot in the notes
Released27 Nov 2025
Opennessopen weights permissive
Runs onconsumer GPU
Statusactive

Benchmark Results

independent
approximate rankindependent
941
5009001,300

Score in Elo; the axis starts at 500, as Elo has no zero. Higher is better.

rank 83, AA Text-to-Image Arena, overall10 Oct 2026 artificialanalysis.ai
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).

Lineage

distill
Alibaba (Qwen)Z-Image Base is the parent (distill)low confidencemodel card
Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 2 models. Confidence and evidence are the notes' own.

R&D Topics

Identity

Developer
Alibaba (Qwen)
Family
not in the notes
Released
27 Nov 2025 sourcesregistry date
Weights published
–
Record checked
10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
diffusion Single-Stream DiT (S3-DiT); developer team Tongyi-MAI
Total parameters
6B sources
Active parameters
–
Checkpoint parameters
–
Context length
not in the notes
Input
text
Output
image
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open weights permissive
Licence
Apache License 2.0 sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
consumer GPU
Footprint
Fits 16 GB
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Industry Use Cases

No industry use case links this model.

Sources

  1. Tongyi-MAI/Z-Image-Turbo , Hugging Face huggingface.co https://huggingface.co/Tongyi-MAI/Z-Image-Turbo
  2. AA-Image-T2I v2.0 Leaderboard - Top AI Image Models | Artificial Analysis artificialanalysis.ai https://artificialanalysis.ai/text-to-image/arena/leaderboard-text
  3. Text-to-Image Models – Hugging Face huggingface.co https://huggingface.co/models?pipeline_tag=text-to-image&sort=trending
  4. Alibaba Group - Wikipedia en.wikipedia.org https://en.wikipedia.org/wiki/Alibaba_Group

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Z-Image Turbo", https://aurion.semai.id/models/alibaba-z-image-turbo/, records of October 2026.