- 🎬 Image-to-video model from Alibaba's Wan 3.0 generation, catalogued September 2026
- 🖼️ Animates a still first frame with prompt-guided motion and camera moves
- 📏 Wan 3.0 Prime supports clips up to 30 seconds in one take
- 🔧 Supports first-frame and first-and-last-frame conditioning
- 👁️ Outputs at 480p, 720p or 1080p resolution
- 🆕 Wan 3.0 unifies text, image and reference conditioning in one family
- 🎯 Higher-tier configuration within the Prime branch of Wan 3.0
- 🌐 Served through Alibaba Cloud Model Studio
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 →Wan 3.0 Prime Pro is the image-to-video endpoint in Alibaba's Wan 3.0 Prime line, taking a source still and animating it into a coherent clip guided by a text prompt. It sits alongside its text-driven and reference-driven counterparts, Wan 3.0 Prime Pro Text-to-Video and Wan 3.0 Prime Pro Reference, which share the same generation and differ mainly in input modality.
Compared with the earlier Wan 2.2 Enhanced and the 2.6/2.7 image-to-video entries, the Wan 3.0 generation consolidates text, image and reference conditioning into a single model family, covering text-to-video, first-frame and first-and-last-frame animation, and reference-based generation, with 480p, 720p and 1080p output and clips of up to 30 seconds in one take.
Within the same release wave, Wan 3.0 Prime is the base Prime variant, while Wan 3.0 Pro and Wan 3.0 represent the other tiers of the same generation; Prime Pro is catalogued as the higher-tier configuration of the Prime branch.
Typical uses include animating product or character stills, extending a keyframe into a short narrative beat, and iterating on shots before committing to a longer render. As with any image-conditioned video model, results follow the input frame closely, so clear subjects and uncluttered compositions generally animate more predictably than occluded or busy ones.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
Daily usage · Wan 3.0 Prime Pro · Organic sellers
| Seller | Health | Rep↓ | Sales | Video | Routing | $ / s | $ / video |
|---|---|---|---|---|---|---|---|
| ▲ Apex Ant 0x73b4…e736 | — | 81.71 | — | — | #2 | $0.1491 | — |
| Venice.ai Proxy 0x1f22…18c9 | failingupstream error · 3.7 h | 86.84 | $13.67 | 1.3 min | #1 | $0.1822 | — |
"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.