# Qwen-Image-3.0

> Qwen-Image-3.0 is the third generation of Alibaba Qwen's image model, announced on 21 July 2026 for dense layouts, posters, infographics and small, legible text, with prompts of up to 4.5K tokens and text in 12 languages, per Qwen's launch post. It is hosted only: no open weights or licence have been published. On Kenerate AI it runs in the browser for 9 credits per image at 1K or 2K and is on the free plan; Qwen-Image-3.0 Pro costs 12 credits at 1K and 22.5 at 2K.

URL: https://kenerateai.com/models/qwen/qwen-image-3
Publisher: Kenerate AI (https://kenerateai.com)
Last updated: 20 October 2026

## Key facts
- Official name: Qwen-Image-3.0 · Qwen-Image-3.0 Pro
- Maker: Alibaba (Qwen team)
- Announced: 21 July 2026
- Prompt length: Up to 4.5K tokens (vendor)
- Text languages: 12 (vendor)
- Weights: Not released · hosted only
- On Kenerate: 9 credits · Pro 12 (22.5 at 2K)
- Free plan: Qwen-Image-3.0 yes · Pro no
- References: Up to 3
- Output: 1K or 2K · 15 aspect ratios

## Steps
1. Open the model — Go to /app/image and pick Qwen Image 3.0 or Qwen Image 3.0 Pro (the button on this page selects Qwen Image 3.0). Sign in free to get started.
2. Write the prompt — Name the format first (poster, infographic, menu, photo), then the layout, style and light. Put every word that must appear in quotes. Keep it under 800 characters.
3. Pick a ratio and resolution — Choose one of 15 aspect ratios, from 1:3 to 3:1, and 1K or 2K. On the standard model both cost 9 credits; fix the seed to compare prompt changes.
4. Edit with references — Upload up to 3 images and say what changes and what stays, e.g. “recolor only the sofa, keep everything else the same”. Each reference adds 0.9 credits.

## In depth

### What changed from Qwen-Image-2.0 to 3.0?
Qwen's launch post moved the focus from pretty pictures to useful ones [1]: longer instructions, denser layouts and smaller text. Reviewers note that the claims rest on Qwen's own examples, with no benchmark table or technical report yet [2][3].
- Prompt length — up to 4.5K tokens, up from about 1K [2].
- Text — native rendering in 12 languages, and legible small text in the launch examples [3].
- Openness — no weights or licence, a break from the open Qwen-Image 1.0 and 2512 releases [2].

### Qwen-Image-3.0 or Qwen-Image-3.0 Pro?
On Kenerate both take the same inputs. Draft on the standard model — 9 credits at 1K or 2K, and on the free plan — then render the keeper on Pro when you need sharper detail: 12 credits at 1K or 22.5 at 2K.

### Prompting Qwen-Image-3.0 for text and layouts
Lead with the format and grid ("A3 event poster, title at the top, three lines of details at the bottom"), put every word that must appear in quotes, and name the font style. Kenerate sends the first 800 characters, so keep the essentials early. Proof-read the result — even strong text models can swap a letter.

References:
[1] Alibaba's Qwen Image 3 — Decrypt: https://decrypt.co/374084/alibaba-qwen-image-3-ai-useful-not-just-pretty
[2] Qwen-Image-3.0: 4.5k-token prompts, no benchmarks, no weights — NYU Shanghai RITS: https://rits.shanghai.nyu.edu/ai/qwen-image-3-0-4-5k-token-prompts-no-benchmarks-no-weights/
[3] Qwen-Image-3.0 guide: access, testing and API gaps — Agentpedia: https://agentpedia.codes/blog/qwen-image-3-developer-guide
[4] OpenArt adds Qwen-Image-3.0 while Alibaba's API stays in preview — RuntimeWire: https://runtimewire.com/article/openart-adds-qwen-image-3-model-aggregation

## FAQ
Q: What is Qwen-Image-3.0?
A: Qwen-Image-3.0 is the third generation of the Qwen-Image model from Alibaba's Qwen team, announced on 21 July 2026. Qwen built it for practical images with dense layouts and small text — posters, infographics, newspaper-style pages — and says it accepts prompts of up to 4.5K tokens and renders text in 12 languages. Those claims come from Qwen's own launch examples.

Q: Qwen-Image-3.0 vs Qwen-Image-3.0 Pro — what's the difference?
A: Both take the same inputs on Kenerate: 15 aspect ratios, 1K or 2K, seed and up to 3 reference images. Pro is the higher-detail version for sharper text and fine detail and costs 12 credits at 1K and 22.5 at 2K. The standard Qwen-Image-3.0 costs 9 credits at either resolution and is on the free plan.

Q: Is Qwen-Image-3.0 free?
A: On Kenerate, Qwen-Image-3.0 is a free-plan model: a new account gets 25 credits on sign-up, and an image costs 9 credits. Qwen-Image-3.0 Pro is paid, from one-time credit packs with no subscription. Alibaba also offers the model in Qwen Chat.

Q: Is Qwen-Image-3.0 open source? Is it on Hugging Face?
A: No. Unlike Qwen-Image 1.0, which was released under Apache 2.0, Qwen-Image-3.0 launched with no downloadable weights, licence, parameter count or technical report, and there is no Qwen-Image-3.0 model card on Hugging Face. The open Qwen model you can run locally is Qwen-Image-2512.

Q: Can I use Qwen-Image-3.0 online?
A: Yes. Kenerate AI runs Qwen Image 3.0 and Qwen Image 3.0 Pro in the browser with no API key: pick one in /app/image, write the prompt and choose a ratio and resolution. Alibaba's own API for the model was invitation-only at first, per reporting in August 2026.

Q: Can Qwen-Image-3.0 edit images?
A: Yes. On Kenerate you upload up to 3 reference images and describe the change. Our recolour tests on this page — a sofa, a hoodie and a flat poster — kept every shape and texture and changed only the colour. An edit with one reference costs 9.9 credits.

Q: How long can a Qwen-Image-3.0 prompt be?
A: Qwen says up to 4.5K tokens, up from about 1K for Qwen-Image-2.0. On Kenerate the prompt is trimmed to the first 800 characters before it is sent, so put the format, the key words in quotes and the layout first.

Q: How good is Qwen-Image-3.0 at text in images?
A: Text is what Qwen built it for: the launch examples show small text in 12 languages and multi-panel layouts. We have not yet run a dedicated text test of 3.0 on this page; for posters with long text, also compare GPT Image 2.5 Sunburst and ERNIE-Image on the same prompt.

Q: What resolution does Qwen-Image-3.0 make?
A: On Kenerate you choose 1K or 2K and one of 15 aspect ratios: 1:1, 1:2, 2:1, 1:3, 3:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 9:21 and 21:9. For 4K, run the result through the image upscaler.

Q: Qwen-Image-3.0 vs GPT Image 2.5 — which should I use?
A: Qwen-Image-3.0 is the cheaper all-rounder and the free-plan option (9 credits, up to 3 references). GPT Image 2.5 takes up to 16 references, goes up to 4K and has five quality tiers, from 3 to 300 credits per image. Use Qwen for drafts and free work, GPT Image 2.5 for multi-reference edits and 4K finals.

## Related pages
- Qwen Image (all versions): https://kenerateai.com/model/qwen-image
- Qwen Image 2512: https://kenerateai.com/model/qwen-image-2512
- GPT Image 2.5: https://kenerateai.com/models/openai/gpt-image-2-5
- ERNIE-Image: https://kenerateai.com/models/baidu/ernie-image
- AI poster generator: https://kenerateai.com/ai-poster-generator
- All models: https://kenerateai.com/model

## Sources
- Alibaba's Qwen Image 3 — Decrypt: https://decrypt.co/374084/alibaba-qwen-image-3-ai-useful-not-just-pretty
- Qwen-Image-3.0: 4.5k-token prompts, no benchmarks, no weights — NYU Shanghai RITS: https://rits.shanghai.nyu.edu/ai/qwen-image-3-0-4-5k-token-prompts-no-benchmarks-no-weights/
- Qwen-Image-3.0 guide: access, testing and API gaps — Agentpedia: https://agentpedia.codes/blog/qwen-image-3-developer-guide
- OpenArt adds Qwen-Image-3.0 while Alibaba's API stays in preview — RuntimeWire: https://runtimewire.com/article/openart-adds-qwen-image-3-model-aggregation