模型广场

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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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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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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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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A natively omni-modal model with unified understanding of text, image, audio, and video, providing a flagship foundation for full-modality capabilities.

上下文

128K

输入 / 1M tokens

$0.84

输出 / 1M tokens

$3.28

缓存读 / 1M

$0

缓存写 / 1M

$0

Character roleplay model for virtual companion scenarios, with stable persona adherence and plot progression in multi-turn dialogue, supporting multimodal inputs.

上下文

128K

输入 / 1M tokens

$0.12

输出 / 1M tokens

$0.29

缓存读 / 1M

$0.02

缓存写 / 1M

$0

Lightweight tier of the Seed 2.0 family tuned for low-latency agent, coding, and GUI workloads.

上下文

256K

输入 / 1M tokens

$0.25

输出 / 1M tokens

$2

缓存读 / 1M

$0.05

缓存写 / 1M

$0.008333

Lightweight tier in the Seed 2.0 family, tuned for high-throughput, low-latency tasks with adjustable reasoning levels. Fits batch processing, moderation, and classification.

上下文

256K

输入 / 1M tokens

$0.1

输出 / 1M tokens

$0.4

缓存读 / 1M

$0.02

缓存写 / 1M

$0.008333

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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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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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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A high-performance general-purpose model from Google, designed for advanced reasoning, coding, mathematics, and scientific tasks. Its built-in thinking capabilities improve response accuracy and enable deeper contextual understanding.

上下文

1.1M

输入 / 1M tokens

$0.3

输出 / 1M tokens

$2.5

缓存读 / 1M

$0.03

缓存写 / 1M

$0.08333

A lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency, with faster token generation and higher throughput. Thinking is disabled by default but can be enabled via API.

上下文

1.1M

输入 / 1M tokens

$0.1

输出 / 1M tokens

$0.4

缓存读 / 1M

$0.01

缓存写 / 1M

$0.08333

Massive context window. Great for video understanding.

上下文

1M

输入 / 1M tokens

$2.5

输出 / 1M tokens

$15

缓存读 / 1M

$0.25

缓存写 / 1M

$0

Speed-tier variant in the Gemini 3 line, pairing Pro-grade reasoning with Flash-level latency and cost, built for agent workflows and high-throughput interactive apps.

上下文

1M

输入 / 1M tokens

$0.5

输出 / 1M tokens

$3

缓存读 / 1M

$0.05

缓存写 / 1M

$0

A high-efficiency multimodal lite model for low-latency, high-volume workloads like translation, classification, and data extraction, priced at about half of Gemini 3 Flash.

上下文

1M

输入 / 1M tokens

$0.25

输出 / 1M tokens

$1.5

缓存读 / 1M

$0.025

缓存写 / 1M

$0.08333

Google's latest. Strong reasoning with native image and video.

上下文

1M

输入 / 1M tokens

$2

输出 / 1M tokens

$12

缓存读 / 1M

$0.2

缓存写 / 1M

$0

Designed for efficient multimodal AI tasks, offering strong coding, reasoning, real-time chat, and agent execution at Flash-tier cost and speed.

上下文

1M

输入 / 1M tokens

$1.5

输出 / 1M tokens

$9

缓存读 / 1M

$0.15

缓存写 / 1M

$0.08333

Fast and cost-efficient.

上下文

33K

输入 / 1M tokens

$0.06

输出 / 1M tokens

$0.12

缓存读 / 1M

$0

缓存写 / 1M

$0

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

-

输出 / 1M tokens

-

缓存读 / 1M

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缓存写 / 1M

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GPT-4o Mini Transcribe is OpenAI's smaller, cost-efficient speech-to-text model built on GPT-4o Mini audio capabilities.

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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GPT-4o Transcribe is OpenAI's high-quality speech-to-text model built on GPT-4o audio capabilities.

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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GPT-4o Transcribe Diarize is an automatic speech recognition (ASR) model with built-in speaker diarization, meaning it associates audio segments with different speakers in a conversation.

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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GPT-5.5 natively supports video comprehension, speech emotion recognition, and autonomous tool calling, delivering omni-modal foundational capabilities for agent-based execution of complex tasks.

上下文

1.1M

输入 / 1M tokens

$10

输出 / 1M tokens

$45

缓存读 / 1M

$1

缓存写 / 1M

$0

Whisper is OpenAI's open-source automatic speech recognition model. It supports transcription and translation across 50+ languages from audio files up to 25 MB. Accepts formats including mp3, mp4, wav, and webm.

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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Mid-tier V2.5 model with native image, audio, and video understanding, built for agent workflows and coding at lower cost than Pro.

上下文

1M

输入 / 1M tokens

$0.14

输出 / 1M tokens

$0.28

缓存读 / 1M

$0.0428

缓存写 / 1M

$0