- 🏢 Alibaba's Pro tier of the Qwen-Image-2.1 generation family
- 🆕 Released September 2026, listed alongside earlier Qwen Image Pro entries
- 🔧 Unified model covering both image generation and prompt-guided editing
- 🎯 Qwen positions text rendering inside images as a core strength
- ⚡ Described by Qwen as a compact, efficient image creation model
- 💬 Prompt-driven control over layout and scene composition
- 📚 Suited to typography, posters, infographics and product imagery
- 🌐 Listed in Alibaba Cloud's Model Studio model catalog
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 51 more models by Alibaba Group →Qwen Image 2.1 Pro is the Pro tier of Alibaba's Qwen-Image-2.1 line, released in September 2026. Qwen's own announcement presents the 2.1 generation as a compact, efficient and unified approach to image creation, meaning a single system covers both text-to-image generation and instruction-based editing rather than splitting those jobs across separate models. The model appears in the Alibaba Cloud Model Studio model list given as this entry's source.
This catalog also lists Qwen Image 2 Pro and Qwen Image 3 Pro. Compared with Qwen Image 2 Pro, the main shift described by Qwen for the 2.1 generation is consolidation and efficiency: capabilities that previously needed distinct checkpoints are brought together, with attention paid to overall visual quality and to how text is rendered within a composition rather than merely spelled correctly. Qwen frames typography and compositional control as focus areas for this release.
Within this catalog, Qwen Image 2.1 Pro sits next to the matching editing entry Qwen Image 2.1 Pro Edit for inpainting and instruction edits, and the latency-oriented Qwen Image 2.1 Turbo for faster iterations.
Typical applications include posters and marketing visuals with embedded headlines, infographics, storyboard frames, and product or packaging imagery where legible in-image text matters.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
Daily usage · Qwen Image 2.1 Pro · Organic sellers
| Seller | Rep↓ | Sales | Images | Routing | $ / img | Save |
|---|---|---|---|---|---|---|
| ▲ Apex Ant 0x73b4…e736 | 81.71 | $7.88 | 315 | #1 | $0.025 | −50% |
"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 = buyer trust score (0-100, the Antseed SDK's own formula). "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.