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Description

The official launch of the Seedance 1.0 API makes ByteDance’s industry-leading video generation technology accessible to creators worldwide. Recently ranked #1 globally in the Artificial Analysis benchmark for both T2V and I2V tasks, Seedance is recognized for its cinematic realism, smooth motion, and advanced multi-shot storytelling capabilities. Unlike single-scene models, it maintains subject identity, atmosphere, and style across multiple shots, enabling narrative video production at scale. Users benefit from precise instruction following, diverse stylistic expression, and studio-grade 1080p video output in just seconds. Pricing is transparent and cost-effective, with 2 million free tokens to start and affordable tiers at $1.8–$2.5 per million tokens, depending on whether you use the Lite or Pro model. For a 5-second 1080p video, the cost is under a dollar, making high-quality AI content creation both accessible and scalable. Beyond affordability, Seedance is optimized for high concurrency, meaning developers and teams can generate large volumes of videos simultaneously without performance loss. Designed for film production, marketing campaigns, storytelling, and product pitches, the Seedance API empowers businesses and individuals to scale their creativity with enterprise-grade tools.

Description

Sora is an advanced AI model designed to transform text descriptions into vivid and lifelike video scenes. Our focus is on training AI to grasp and replicate the dynamics of the physical world, with the aim of developing systems that assist individuals in tackling challenges that necessitate real-world engagement. Meet Sora, our innovative text-to-video model, which has the capability to produce videos lasting up to sixty seconds while preserving high visual fidelity and closely following the user's instructions. This model excels in crafting intricate scenes filled with numerous characters, distinct movements, and precise details regarding both the subject and surrounding environment. Furthermore, Sora comprehends not only the requests made in the prompt but also the real-world contexts in which these elements exist, allowing for a more authentic representation of scenarios.