- 🎨 Alibaba's top-tier Qwen text-to-image generator
- 🖼️ Best-in-class text rendering inside images
- 🎯 Strong compositional and layout control
- 🏢 Pro-tier variant above standard Qwen Image 2
- 📚 Pairs with a dedicated Pro editing/inpaint model
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 2 Pro is Alibaba's premium text-to-image generator, distinguished by best-in-class rendering of legible text directly inside images — making it well-suited for posters, signage, UI mockups, and any composition where typography must read cleanly. Released in March 2026, it sits at the top of the current Qwen Image generation tier, the Pro counterpart to the standard Qwen Image 2 and a clear step up from the original Qwen Image.
Beyond text, the model offers strong compositional control, letting users direct layout, subject placement, and scene structure with more reliability than typical diffusion models. It is part of a broader Qwen visual lineup on the platform that includes a matching inpaint/edit companion, Qwen Image 2 Pro Edit, for refining or modifying existing images at the same quality tier.
Choose Qwen Image 2 Pro when your work hinges on accurate in-image text and deliberate composition — graphic design, marketing assets, and detailed scene construction. For straightforward generation at lower cost, the standard Qwen Image 2 covers the same family with a lighter footprint.
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 | $0.05 | image,creative | openai-images |
| ▲ Apex Ant 0x73b4…e736 | 91.01 | #1 | $0.04 | image,media | openai-images |
| D5V1N2 0xd5e7…7be0 | 33.17 | gated | $0.116 | 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.