ByteDance's Video-Generating AI Pricing Announced, Volcano Engine's Seedance 2.0 Ushers in the "One-Yuan-Per-Second Era"

ByteDance's cloud service platform, Volcano Engine, recently announced the official pricing for its new-generation video generation model, Seedance 2.0, marking a new phase in AI video generation costs. According to information on its official website, the service is billed based on "token" consumption. The price for services including video input (suitable for video editing) is 28 yuan ($4.06) per million tokens, while the price for services without video input (pure video generation) is 46 yuan ($6.68) per million tokens.

Market reports indicate that generating a 15-second video requires approximately 308,880 tokens. Calculating with the pure generation price of 46 yuan per million tokens, the cost to generate a single 15-second video is about 15 yuan ($2.18), equating to 1 yuan ($0.15) per second. This price is viewed by the industry as a significant milestone in the field of AI video generation, signifying the formal entry into a "one-yuan-per-second era."

Two Service Modes Correspond to Different Pricing

According to publicly available information, the two pricing models correspond to different application scenarios.

Service Mode	Applicable Scenario	Price (per million tokens)
With Video Input	Video Editing (modifying, extending based on an existing video)	28 yuan (~$4.06)
Without Video Input	Pure Video Generation (generating new video from scratch)	46 yuan (~$6.68)

Reports explain that the pure video generation service is priced higher than the video editing service because it consumes more computational resources.

Technical Background and Market Positioning

Seedance 2.0 is a new-generation multimodal video generation model launched by ByteDance's Doubao large model team. The model supports using various modalities such as images, videos, and audio as reference inputs to generate videos, aiming to meet enterprise-level video creation needs. Previously disclosed test results show that the Seedance 2.0 model ranked first globally in multiple core metrics on international authoritative multimodal video generation benchmarks like VideoBench and VBench.

However, it is noteworthy that according to the current display on Volcano Engine's official website, the Seedance 2.0 model does not yet support external access via API (Application Programming Interface), with its status listed as "Coming Soon." Further market reports reveal that Seedance 2.0 is currently not open to third-party tool developers and is limited to internal use within ByteDance and select partners. The same report mentions that the model has been integrated by the first batch of partner companies, including a leading comic series production company.

Impact Analysis on the Industry

Volcano Engine's announcement of Seedance 2.0's pricing provides a clear cost reference point for the AI video generation market. The intuitive cost of "1 yuan per second" lowers the threshold for enterprises to evaluate and use AI video generation technology, which is expected to accelerate its commercial adoption in fields such as short video production, advertising and marketing, and content creation.

Simultaneously, this pricing strategy signals that competition in the AI video generation field is extending from pure technological competition to a comprehensive contest involving commercialization capabilities and cost control. As a leading Chinese internet giant, ByteDance's commercialization pricing of advanced AI video capabilities through Volcano Engine not only aids the growth of its cloud service business but may also create pricing pressure on other cloud providers offering similar AI services, including Tencent, thereby promoting price transparency and rationalization across the industry.

Although the API is not yet fully open, limiting its immediate market reach, the clear pricing announcement is seen as a crucial step by ByteDance to pave the way for the future large-scale commercialization of its AI video capabilities. The industry will closely monitor its subsequent opening strategy as well as its performance and cost-effectiveness in practical applications.