wan2.5-t2v-preview
Alibaba
Generate 5-10 second, 480p/720p/1080p video from text prompts with native synced audio track.
- 上下文
- 待核
- 输入 / 1M tokens
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- 输出 / 1M tokens
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- 缓存读 / 1M
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- 缓存写 / 1M
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wan2.6-i2v
Alibaba
Alibaba Tongyi Wanxiang Wan 2.6 image-to-video model animates a reference image into 720p/1080p clips with synchronized audio, preserving subject consistency with cinematic motion.
- 上下文
- 待核
- 输入 / 1M tokens
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- 输出 / 1M tokens
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- 缓存读 / 1M
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- 缓存写 / 1M
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wan2.6-i2v-flash
Alibaba
Speed-optimized Wan 2.6 image-to-video variant with optional audio output, generating 720p/1080p clips quickly and cost-effectively for high-throughput image animation.
- 上下文
- 待核
- 输入 / 1M tokens
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- 输出 / 1M tokens
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- 缓存读 / 1M
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- 缓存写 / 1M
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wan2.6-t2v
Alibaba
Generate 720p/1080p video from text prompts and come with synchronized audio tracks. The picture has movie-level aesthetics and complex motion performance, suitable for creative video creation.
- 上下文
- 待核
- 输入 / 1M tokens
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- 输出 / 1M tokens
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- 缓存读 / 1M
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- 缓存写 / 1M
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seedance-2.0
bytedance
Standard tier of the Seedance family. Supports text-to-video, image-to-video, and reference-to-video, with strong character, style, and camera consistency. Built for ads and short-form creative.
- 上下文
- 待核
- 输入 / 1M tokens
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- 输出 / 1M tokens
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- 缓存读 / 1M
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- 缓存写 / 1M
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seedance-2.0-fast
bytedance
Lightweight Seedance 2.0 variant tuned for speed and cost rather than peak fidelity, with text-to-video, first/last frame control, and multi-reference inputs.
- 上下文
- 待核
- 输入 / 1M tokens
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- 输出 / 1M tokens
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- 缓存读 / 1M
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- 缓存写 / 1M
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seedance-2.5
bytedance
A video generation model built for long-form storytelling, with first-frame and first-and-last-frame control, up to 50 multimodal reference assets, and optional audio generation. It also supports video editing and extension.
- 上下文
- 131K
- 输入 / 1M tokens
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- 输出 / 1M tokens
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- 缓存读 / 1M
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- 缓存写 / 1M
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minimax-h3
minimax
A lightweight open-weight video generation model focused on instruction-guided editing, text and brand rendering, and video-to-video motion transfer, with native audiovisual output. Built for advertising, e-commerce, and interface design workflows.
- 上下文
- 131K
- 输入 / 1M tokens
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- 输出 / 1M tokens
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- 缓存读 / 1M
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- 缓存写 / 1M
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