Context
N/A (video)
Input
Subscription-based
Key Specifications
🏆
Arena Rank
Not disclosed
📐
Context Window
N/A (video)
📥
Input Price
per 1M tokens
Subscription-based
📤
Output Price
per 1M tokens
Subscription-based
🧠
Parameters
Undisclosed
🔒
Open Source
No
Best For
Video generationcinematic contentstorytelling
About Sora
Sora is OpenAI's groundbreaking video generation model capable of creating photorealistic videos up to one minute long from text descriptions. It demonstrates an understanding of physics, object permanence, and spatial relationships that surpassed all previous video generation models. Sora represents a major leap toward AI-generated cinematic content.
Built byOpenAI↗
Pricing per 1M tokens
Input Tokens
Subscription-based
Output Tokens
Subscription-based
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Frequently Asked Questions
What is Sora?▾
Sora is OpenAI's groundbreaking video generation model capable of creating photorealistic videos up to one minute long from text descriptions. It demonstrates an understanding of physics, object permanence, and spatial relationships that surpassed all previous video generation models. Sora represents a major leap toward AI-generated cinematic content.
How much does Sora cost?▾
Sora costs Subscription-based per 1 million input tokens and Subscription-based per 1 million output tokens. Pricing is based on token usage, making it cost-effective for both small and large-scale applications.
What is Sora's context window?▾
Sora has a context window of N/A (video) tokens. This determines how much text the model can process in a single request — larger context windows allow the model to handle longer documents, maintain more conversation history, and reason over bigger codebases.
Is Sora open source?▾
No, Sora is a proprietary model available through OpenAI's API. Proprietary models are typically accessible via API endpoints and offer managed infrastructure, support, and regular updates from the provider.
What is Sora best for?▾
Sora is best suited for: Video generation, cinematic content, storytelling. These use cases leverage the model's specific strengths in terms of capability, speed, and cost-effectiveness within OpenAI's model lineup.