Tasks and inputs
Qwen-Image-2.1-Pro is listed for Image-text-to-image, Text-to-image. It accepts text, image and produces image. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 13, 2026
Qwen-Image-2.1-Pro creates and edits images, including reference-guided and transparency workflows; hosted billing is separate from local deployment.
Pricing conditions: Use the selected image service’s current resolution, operation and billing unit. No independently verified flat token rate is recorded for this image model.
Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
The Pro service is a unified image generation and editing model introduced on QwenCloud on 2 October 2026. It supports transparent-image workflows and multiple reference images, making it relevant for product visuals, composition and directed edits.
Use the documented QwenCloud model ID and the image editing or generation interface for the chosen operation. The open Qwen-Image-2.1 checkpoint and the Pro service are distinct catalog entries; a service listing alone does not establish that its exact weights are downloadable.
Keep reference images, requested output dimensions and edit instructions with each evaluation. A successful API response does not establish that a product’s identity, transparency or typography has been preserved. Inspect output in the intended renderer and include the full revision sequence when estimating cost. A text model’s token rate is not a usable substitute for image-service pricing.
Compare the same prompts and reference sets at the resolution you intend to deliver. Include transparent edges, fine text and a local edit that must preserve the rest of the scene. Review accepted assets instead of thumbnails, and count the generations and manual corrections required for each usable result.
Record the exact model identifier, deployment route and request settings with each result. Count complete runs, including rejected outputs, retries and tool calls. When the workflow creates files or code, open the files or execute the existing checks before accepting the result. A plausible first response can hide an incomplete final deliverable.
The specifications describe supported interfaces and request capacity. They do not establish a measured quality ranking or a latency guarantee for your account. SyncDev has not independently benchmarked this model. Choose a deployment after testing the languages, input formats and operating conditions that matter to your users.
Explore alibaba models, browse model tasks, or compare two models with the same acceptance criteria.
Compare the model on the work you need to complete.
Qwen-Image-2.1-Pro is listed for Image-text-to-image, Text-to-image. It accepts text, image and produces image. Use the publisher’s input format and preprocessing for your chosen deployment.
Choose the output size and quality your design needs. Include drafts and revisions when budgeting an accepted image.
Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.
These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.
Alibaba
Qwen-Image-2.1-Turbo creates and edits images, including reference-guided and transparency workflows; hosted billing is separate from local deployment.
Meta
Muse Image 1.0 generates and edits images through conversational or single-shot endpoints, with flat per-image Meta Model API billing.
krea
Krea 2 Raw: a base checkpoint for further training, not the recommended everyday inference release.
krea
Krea 2 Turbo: the post-trained and distilled Krea 2 checkpoint for image generation.
OpenAI
GPT-5.4 Image 2 from OpenAI: Image model for prompt-driven generation, editing, and visual design workflows.
Qwen
Qwen/Qwen-Image is a source-linked Hugging Face repository assigned to Text-to-image. Its recorded task interface accepts text and produces image.