- 🎨 Pro-tier editing variant of Alibaba's Qwen Image line
- 🖼️ High-fidelity inpainting with object-level precision
- ✍️ Strong text rendering inside edited regions
- 🎯 Tuned for top-tier localized image edits
- 🏢 Built by Alibaba, released March 2026
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 the professional-grade editing variant in Alibaba's Qwen Image 2 generation, an inpainting model built for high-fidelity, object-level image edits. Released in March 2026 alongside the broader Qwen Image 2 family, it pairs precise localized editing with the line's notably strong text rendering — letting you modify objects, replace regions, or rework details while keeping legible typography intact. It is the editing-focused counterpart to the Qwen Image 2 Pro text-to-image generator and the standard Qwen Image 2 edit model, sitting at the top tier for fidelity within that group.
Within Alibaba's deep first-party catalogue — which spans the Qwen text models, Qwen3 embeddings, Qwen TTS, and the Wan video and image lines — this model occupies the premium image-editing slot. As the current incumbent of its editing line, it remains the high-quality choice when edit precision matters more than raw speed.
It is best suited for retouching, controlled object insertion and removal, and any inpainting task where preserving surrounding detail and embedded text is critical.
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 |
|---|---|---|---|---|---|
| ▲ Apex Ant 0x73b4…e736 | 91.02 | #1 | $0.03 | image,media | 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.