- 🖼️ Alibaba's Pro-tier text-to-image model
- 🎯 Best-in-class text rendering inside generated images
- 🎨 Strong compositional and layout control
- 🏢 Built by Alibaba's Qwen team
- ⚡ Pro variant tuned for higher-fidelity output
Alibaba Group is a Chinese multinational technology company founded in 1999 and headquartered in Hangzhou, Zhejiang. Originally built around e-commerce and cloud computing, Alibaba has become one of the most prolific contributors to open-weight AI research, developing the Qwen…
Explore 39 more models by Alibaba Group →Qwen Image 3 Pro is the Pro tier of Alibaba's Qwen Image generation line, arriving in July 2026 with a focus on two things most diffusion models struggle with: legible text rendered inside the picture, and reliable control over where elements sit in the frame. Where many image models garble signage, captions, and UI text, the Qwen Image family has consistently treated typography as a first-class capability, and the Pro configuration pushes that further with higher-fidelity output.
Within Alibaba's catalogue it sits alongside the standard Qwen Image 3 and the earlier Qwen Image 2 Pro, with editing-oriented counterparts such as Qwen Image 2 Pro inpainting and Qwen Edit Uncensored covering modification workflows. It also shares shelf space with Alibaba's Wan line, which leans toward video and general-purpose imagery rather than typographic precision.
Choose Qwen Image 3 Pro when the prompt involves words on the canvas — posters, mockups, packaging, infographics, comic panels, product shots with labels — or when you need a multi-element scene composed to a specific layout rather than a loosely interpreted vibe. For quick iteration at lower cost, the non-Pro variant covers the same ground with less headroom.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
| Seller | Reputation↓ | Routing | $ / img | Categories | API |
|---|---|---|---|---|---|
| Venice.ai Proxy 0x1f22…18c9 | 100.00 | #2 | $0.025 | image,creative | openai-images |
| ▲ Apex Ant 0x73b4…e736 | 91.01 | #1 | $0.02 | image,media | openai-images |
| D5V1N2 0xd5e7…7be0 | 33.17 | gated | $0.058 | image,creative,router,fallback | openai-images |
"Best price" and the seller table are live AntSeed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = on-chain trust (0-100). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on AntSeed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.