$ cat wiki/models/qwen-image-2-1-turbo.md
Qwen-Image-2.1-Turbo
Spec
| Attribute | Value |
|---|---|
| Developer | Alibaba / Qwen AI Lab |
| Released | 2026-10-09 |
| Announced | 2026-10-09 |
| Context window | unknown |
| Pricing | unknown |
| License | unknown |
| Availability | Downloadable checkpoint on Hugging Face; Alibaba Cloud Model Studio API |
| The dated repository announcement supplies release and availability. The README names the repository's Qwen Research License Agreement, whose grant is non-commercial; the separate Turbo model card was not inspected, so checkpoint-specific license terms remain unverified. No API price or context budget is established by these sources. (source) (source) |
Release Date
The repository records the Turbo checkpoint and Pro/Turbo API availability on 2026-10-09. (source)
Benchmarks
The Turbo section specifies 8 denoising steps and the same 7B visual generation architecture as Qwen-Image-2.1. This is an architecture and sampling specification, not a measured latency or quality comparison. No Turbo-specific quantitative benchmark is reported in that section. (source)
Use Cases
Text-to-image generation and image editing. Diffusers loads the checkpoint's saved sampling schedule automatically; setting num_inference_steps alone does not replace it. Both examples use default CFG=1. (source)
Compared To
Qwen-Image-2.1 is the base checkpoint. Its examples and evaluations must not be relabeled as Turbo results; the README separates Turbo's examples from the original model's examples. (source)