- 🏢 Alibaba's latest text-to-image generator
- 🖼️ Top-tier text rendering inside generated images
- 🎯 Strong compositional control over scenes and layout
- 🎨 Successor to the original Qwen Image
- 🌍 Part of Alibaba's broad Qwen multimodal lineup
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 is Alibaba's image-generation model built for precise text rendering inside pictures and confident compositional control — a combination that makes it well suited to posters, infographics, UI mockups, and any scene where legible typography matters. Released in March 2026, it is the current generation of Alibaba's Qwen Image line, succeeding the original 2025 release with sharper prompt adherence and cleaner in-image lettering.
It arrives alongside a small cluster of same-generation variants: a higher-fidelity Qwen Image 2 Pro tier, plus inpainting-focused editing companions Qwen Image 2 and Qwen Image 2 Pro for masked, region-specific changes. Together they sit within Alibaba's expansive multimodal catalogue, which also spans the Qwen text and vision-language models, Qwen embeddings and TTS, and the Wan video generators.
For users, Qwen Image 2 is the practical default when an image needs accurate words, logos, signage, or structured layouts rendered correctly — areas where many diffusion models struggle. Choose the Pro variant for maximum fidelity, or the edit models when you need to revise an existing image rather than generate from scratch.
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.