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Alibaba launches Wan3.0, its 30-second video model, days after raising $10bn
The model turns PDFs and slide decks into video, undercuts Veo on price, and arrives with its weights firmly shut. Alibaba has launched Wan3.0, the latest version of its video generation model, days after raising roughly $10.2bn in a Hong Kong share placement whose proceeds it has earmarked entirely for AI. The sequencing is not subtle, and it is not meant to be, since the company has spent the past fortnight arguing to investors that its capital expenditure is buying something they can see. The model had already been running in public beta since early August through Alibaba Cloud's Model Studio and its Qwen Cloud platform, so Monday's launch is a widening of access rather than a first appearance. It also lands in a category where Chinese labs have quietly built a commanding position while Western attention has stayed on chatbots. Wan3.0 generates clips of up to 30 seconds in a single pass, double the 15-second ceiling of its predecessor Wan2.7, at resolutions up to 1080p. Alibaba says the model holds character detail, props, spatial layout, and motion graphics steady across the full length and renders faces with synchronised micro-expressions and multilingual voice output. The more distinctive feature is what it will accept as input. Alongside text, images, audio, and video, Wan3.0 takes web pages and documents, including PDFs and PowerPoint files, which lets a user hand it a slide deck or a spreadsheet and get back a video that reflects the structure of the source material. That points the product at marketing departments and corporate communications teams rather than at filmmakers, though Alibaba lists short dramas and social content among the use cases too, along with simulation training for autonomous vehicles and robotics. It is a business tool wearing a creative tool's clothes. Pricing follows the same logic. Wan3.0 runs at $0.05 per second at 480p, $0.10 at 720p, and $0.20 at 1080p, which works out at $12 a minute for the top tier against $0.40 per second for the standard tier of Google's Veo 3.1. Undercutting the incumbent is a familiar move, though the arithmetic is not entirely one-sided. Several rivals that currently rank above Alibaba's previous model on independent leaderboards also cost less per minute than Wan3.0 does at 1080p, and Wan3.0 itself has not yet been independently benchmarked at all, which makes the quality claims company-issued for now. Price pressure in the category is coming from further down the market as well, with an Indian startup recently shipping a video model at half a cent per second and betting that most commercial video never needs frontier quality. Access is still staged rather than open. The beta runs through Model Studio and Qwen Cloud on an application basis, full API availability is described as rolling out, and a consumer-facing site at wan.video is promised as a members-only platform, which suggests Alibaba is metering demand while it works out what the compute costs it to serve. Notably, the weights are closed. Alibaba built much of its reputation in this field by open-sourcing the Wan series, and Wan2.2 in July 2025 remains the last video flagship it released that way, a shift that sits alongside its decision to start charging the heaviest users of its open Qwen models. The commercial case for all of this showed up in the last set of results. Cloud and AI revenue grew 45% to 48.44bn yuan in the June quarter, and AI model services alone now carry more than 16bn yuan in annualised recurring revenue, which is the line the share sale is meant to keep growing. The cost of getting there was equally visible, with quarterly net profit falling 75% as capital expenditure rose 75% to 67.68bn yuan. Alibaba committed 380bn yuan to AI infrastructure over three years in early 2025 and has been reported to be weighing an increase to 480bn. Whether Wan3.0 justifies any of that is not a question this week can answer. Video models are expensive to run, buyers switch based on price, and the leaderboards that would settle the argument have not yet had a look at it.
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Alibaba launches Wan3.0 AI video model after $10 billion share sale
The new model can generate 30-second videos from documents, spreadsheets, slides and web pages, Alibaba Cloud said in a post on the WeChat platform. Alibaba officially rolled out its latest AI video generation-model Wan3.0 on Monday with enhanced capabilities after the Chinese internet giant launched a $10 billion share placement ā to fund ā rising AI spending. The new model can generate 30-second videos from documents, spreadsheets, slides and web pages, Alibaba Cloud said in a post on the WeChat platform. ā Alibaba said Wan3.0 had been used in short drama and ā film production, advertising and marketing, tourism promotion and music video creation since a public beta version was launched on August 6. The release comes a day after Alibaba announced the share sale, the largest-ever primary follow-on offering by a Hong Kong-listed company, as it ramps ā up spending in the intensifying global AI race. Alibaba last week reported a 75% plunge in quarterly earnings from a year ago due to soaring AI-related capital expenditure.
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Alibaba officially rolled out Wan3.0, its latest AI video generation model, just days after securing $10.2bn through Hong Kong's largest-ever share placement. The 30-second video model converts PDFs and slide decks into video, undercuts Google Veo on price, but marks a strategic shift from open-source to closed-weight models as the company battles soaring infrastructure costs.
Alibaba has officially launched Wan3.0, its latest AI video generation model, days after raising approximately $10.2bn in a Hong Kong share placement earmarked entirely for AI spending
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. The timing underscores the company's aggressive push to demonstrate tangible returns on its AI investments to investors. The release represents the largest-ever primary follow-on offering by a Hong Kong-listed company, positioning Alibaba to compete more forcefully in the global AI race2
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Source: The Next Web
Monday's launch widens access to a model that has been running in public beta since early August through Alibaba Cloud's Model Studio and Qwen Cloud platform
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. While Chinese labs have quietly built commanding positions in AI-powered video generation, Western attention has remained focused primarily on chatbots, giving Alibaba room to maneuver.Wan3.0 generates clips of up to 30 seconds in a single pass, doubling the 15-second ceiling of its predecessor Wan2.7, at resolutions up to 1080p
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. The 30-second video model maintains character detail, props, spatial consistency, and motion graphics throughout the full length while rendering faces with synchronized micro-expressions and multilingual voice output.What distinguishes this AI video model from competitors is its input flexibility. Beyond text, images, audio, and video, Wan3.0 accepts web pages and documents, including PDFs and PowerPoint files
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. Users can submit a slide deck or spreadsheet and receive a video reflecting the source material's structure. This capability targets corporate and marketing use cases rather than filmmaking, though Alibaba lists short dramas, social content, simulation training for autonomous vehicles, and robotics among potential applications.Since the public beta launched on August 6, Wan3.0 has been deployed in short drama and film production, advertising and marketing, tourism promotion, and music video creation
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.Wan3.0 runs at $0.05 per second at 480p, $0.10 at 720p, and $0.20 at 1080p, translating to $12 per minute for the top tier
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. This significantly undercuts Google Veo 3.1's standard tier pricing of $0.40 per second. The pricing strategy reflects Alibaba's business-tool positioning despite creative-tool branding.However, the arithmetic isn't entirely one-sided. Several rivals currently ranking above Alibaba's previous model on independent leaderboards cost less per minute than Wan3.0 at 1080p
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. An Indian startup recently shipped a video model at half a cent per second, betting most commercial video never needs frontier quality. Price pressure in AI video generation is intensifying from both established players and emerging markets.Notably, Wan3.0 arrives with closed weights, marking a significant strategic pivot
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. Alibaba built much of its reputation by open-sourcing the Wan series, with Wan2.2 in July 2025 remaining the last video flagship released that way. This shift aligns with Alibaba's decision to start charging the heaviest users of its open Qwen models, reflecting mounting pressure to monetize AI investments.Access remains staged rather than open. The beta runs through Model Studio and Qwen Cloud on an application basis, full API availability is described as rolling out, and a consumer-facing site at wan.video is promised as a members-only platform
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. This suggests Alibaba is metering demand while calculating compute costs to serve.Related Stories
The commercial rationale for Wan3.0 emerged clearly in Alibaba's latest results. Cloud and AI revenue grew 45% to 48.44bn yuan in the June quarter, with AI model services alone now carrying more than 16bn yuan in annualized recurring revenue
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. The share sale aims to sustain this growth trajectory.Yet infrastructure costs are mounting rapidly. Quarterly net profit fell 75% as capital expenditure rose 75% to 67.68bn yuan
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. Alibaba committed 380bn yuan to AI infrastructure over three years in early 2025 and has reportedly been weighing an increase to 480bn yuan. The 75% earnings plunge underscores the financial strain of competing in AI spending.Whether Wan3.0 justifies these investments remains uncertain. The model has not yet been independently benchmarked, making current quality claims company-issued
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. Video models are expensive to run, buyers switch based on price, and the leaderboards that would settle performance arguments have not yet evaluated it. Watch for independent benchmarking results and whether Alibaba's document-to-video capabilities create sustainable differentiation in corporate and marketing use cases. The long-term ROI question centers on whether premium pricing for business-focused features can offset the infrastructure costs that crushed quarterly profits while Chinese competitors and global players intensify pressure across the AI video generation market.Summarized by
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