OpenAI Sora 2 Pro is a state-of-the-art text-to-video model with realistic physics, synchronized audio, and strong steerability. Supports multiple resolutions up to 1080p and durations up to 20 seconds. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Ожидание
$1.2за запуск
Interrogation room, single overhead bulb. A detective slaps a folder on the table and says, "We already know you were there." The suspect looks up slowly, smirks, and replies, "Then why are you still asking?" Tight cross-cutting between faces, high contrast, Fincher-esque.
Two old friends sit across from each other at a small café table, warm afternoon light through dusty windows. One leans forward and says, "I never told you, but that day changed everything for me." The other goes quiet, looks down at their cup, then slowly nods. Handheld camera, intimate framing, film grain.
A couple stands under a streetlight in the rain. She turns away, arms crossed. He reaches out and says, "Just tell me what you want me to say." She spins around, eyes wet — not just from rain — and says, "I want you to mean it." Silence. Medium shot, cold blue tones, slow zoom in.
Notice — Service Stability
The Sora 2 family is currently unstable. Generations may fall back to alternative models without notice and the service can be temporarily unavailable. OpenAI is also expected to discontinue this model in the future.
If you need an equally capable, stable alternative, we recommend Seedance 2: bytedance/seedance-2.0/text-to-video.
Sora 2 Pro is OpenAI's premium video and audio generator. It advances prior video models with more accurate physics, sharper realism, synchronized audio, stronger steerability, and a wider stylistic range — built on the original Sora foundation.
Now with character consistency — create reusable character IDs and feature them across multiple videos with the same identity.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Describe scene, style, camera, and audio cues |
| size | No | Output resolution (see options below) |
| duration | No | Video length: 4, 8, 12, 16, or 20 seconds |
| characters | No | List of character IDs for consistent identity |
| Duration | 720p | 1024p | 1080p |
|---|---|---|---|
| 4 s | $1.20 | $2.00 | $2.80 |
| 8 s | $2.40 | $4.00 | $5.60 |
| 12 s | $3.60 | $6.00 | $8.40 |
| 16 s | $4.80 | $8.00 | $11.20 |
| 20 s | $6.00 | $10.00 | $14.00 |
Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/openai/sora-2-pro/text-to-video with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Sora 2 Pro Text To Video below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/openai/sora-2-pro/text-to-video" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1280*720",
"duration": 4
}'
# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
-H "Authorization: Bearer $WAVESPEED_API_KEY"
# When status is "completed", read the output from data.outputs[0].// npm install wavespeed
const WaveSpeed = require('wavespeed');
const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env
const result = await client.run("openai/sora-2-pro/text-to-video", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1280*720",
"duration": 4
});
console.log(result.outputs[0]); // → URL of the generated output# pip install wavespeed
import wavespeed
output = wavespeed.run(
"openai/sora-2-pro/text-to-video",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"size": "1280*720",
"duration": 4
}
)
print(output["outputs"][0]) # → URL of the generated outputSora 2 Pro Text To Video is a OpenAI model for video generation, exposed as a REST API on WaveSpeedAI. OpenAI Sora 2 Pro is a state-of-the-art text-to-video model with realistic physics, synchronized audio, and strong steerability. Supports multiple resolutions up to 1080p and durations up to 20 seconds. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.
POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/openai/openai-sora-2-pro-text-to-video.
Sora 2 Pro Text To Video starts at $1.20 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.
Key inputs: `prompt`, `duration`, `size`, `characters`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/openai/openai-sora-2-pro-text-to-video.
Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.
Commercial usage rights depend on the model's license, set by its provider (OpenAI). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.