Wan 2.7
Alibaba's video AI hits 1080p with native audio sync — no API waitlist
Expert verdict
Ship
3-1The Panel's Take
Wan 2.7 is Alibaba's latest video generation model, released April 3, 2026, pushing its previous Wan 2.1 into the background with significant upgrades across resolution, duration, and audio. The headline features: native 1080P output (up from 720P), up to 15 seconds of generation (up from 10), and built-in audio sync that aligns lip movements and sound during the generation pass rather than as a post-processing step. The audio sync architecture is the real story. Most video AI models generate silent video and then attach audio as a separate pass — producing the uncanny valley drift between mouth and sound that defines AI video in 2026. Wan 2.7 conditions the entire generation on audio features, meaning the motion and visual flow of the video are shaped by the audio from frame one. Results from early testers show notably tighter sync on speech and music-driven clips. Access is immediate via Alibaba Cloud API and third-party proxies like Segmind, priced at $0.63/720P video and $0.94/1080P video — no subscription, no waitlist. The model supports text-to-video, image-to-video, and natural language video editing. Alongside Sora, Kling, and Veo 3, Wan 2.7 positions itself in the sub-$1-per-clip tier of professional video generation — a segment that's moving fast.
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Wan 2.7 verdict: SHIP 🚀 3 ships · 1 skip from the expert panel Full review: shiporskip.io/tool/wan-27-alibaba-1080p-text-to-video-audio-sync-image-to-video
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“No waitlist, immediate API access, and image-to-video at competitive pricing makes Wan 2.7 easy to integrate today. The audio sync during generation rather than post-processing is a real technical differentiator that will matter for any project with spoken dialogue.”
“Alibaba Cloud's pricing, terms, and infrastructure reliability are not Sora-tier for western businesses. Data sovereignty concerns for commercial video work are real. And 15 seconds is still too short for anything beyond social content. Kling and Veo are better bets for now.”
“Audio-conditioned video generation is the evolutionary step that makes AI video coherent for storytelling. When the model understands the rhythm and cadence of the audio before deciding how characters move, you get something closer to directed performance than random motion.”
“1080P output and native audio sync at under a dollar a clip is transformative for indie creators. I can finally use AI video for actual client work without the embarrassing lip-sync drift. This is the video AI I've been waiting for.”