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OpenAI: Sora 2 Pro

openai/sora-2-pro

OpenAI's flagship video generation model, delivering production-quality video with physics-accurate motion, synchronized audio, and world-state persistence across shots. Sora 2 Pro follows intricate multi-shot instructions while maintaining consistent spatial relationships — objects don't disappear or change shape between cuts. Supports text-to-video and image-to-video, with synchronized background soundscapes, speech, and sound effects. Includes advanced content safety with C2PA metadata provenance and SynthID-style watermarking.

Modalities

Price

from $0.30per second

Released

Mar 23, 2026

Overview
Providers
Performance
Apps
Activity
Uptime
API

Sample code and API for Sora 2 Pro

OpenRouter normalizes requests and responses across providers for you.

1

Get your API key

Create an API key from your OpenRouter dashboard and set it as an environment variable:

2

Make your first request

Use openai/sora-2-pro with the OpenRouter API:

OpenRouter supports video generation models that can create videos from text prompts. Submit a generation request with your prompt and model, then poll the returned URL to check the status. Once complete, the response includes URLs to download the generated video. Learn more about video generation.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

Endpoint

POSThttps://openrouter.ai/api/v1/videos
AuthorizationBearer $OPENROUTER_API_KEY
Content-Typeapplication/json
HTTP-Refereroptional — your site URL, for rankings
X-Titleoptional — your site name, for rankings
Modelopenai/sora-2-pro

Parameters

NameTypeDefaultDescription
stoparray—Stop generation immediately if the model encounter any token specified in the stop array.
frequency_penaltyfloat0This setting aims to control the repetition of tokens based on how often they appear in the input.
presence_penaltyfloat0Adjusts how often the model repeats specific tokens already used in the input.
logit_biasmap—Accepts a JSON object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100.
logprobsboolean—Whether to return log probabilities of the output tokens or not.
top_logprobsinteger—An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability.