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Kling Omni Video O3 (Standard) is Kuaishou's advanced unified multi-modal video model with MVL (Multi-modal Visual Language) technology. Text-to-Video mode generates cinematic videos from text prompts with subject consistency, natural physics simulation, and precise semantic understanding. Supports audio generation. Ready-to-use REST API, best performance, no coldstarts, affordable pricing.

text-to-video
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Idle

$0.42per run·~23 / $10

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Candid style video of a busy barista working behind a counter in a crowded cafe. They are skillfully pouring latte art into a cup, then handing it to a customer with a quick smile. Steam rises from the machine. Natural movement and interactions.

Related Models

README

Kling Video O3 Standard Text-to-Video

Kling Video O3 Standard is Kuaishou's advanced text-to-video model in the O3 family, delivering high-quality cinematic video from text descriptions. With optional synchronized sound generation, multiple aspect ratios, and flexible duration, it offers a strong balance of quality and cost.

Why Choose This?

  • O3-level quality Advanced visual fidelity and motion realism beyond V3.0 models.

  • Sound generation Optional synchronized sound effects generated alongside the video.

  • Flexible duration Generate videos from 3 to 15 seconds to match your scene needs.

  • Multiple aspect ratios Support for 16:9, 9:16, and 1:1 to fit any platform.

  • Multi-prompt support Chain multiple prompt segments to guide scene transitions and narrative flow within a single generation.

  • Prompt Enhancer Built-in tool to automatically improve your video descriptions.

Parameters

ParameterRequiredDescription
promptNoText description of the video scene, motion, and style.
aspect_ratioNoOutput ratio: 16:9 (default), 9:16, 1:1.
durationNoVideo length in seconds. Range: 3–15. Default: 5.
soundNoGenerate synchronized sound alongside the video. Default: disabled.
shot_typeNoEditing mode: intelligence or customize.
multi_promptNoAdditional prompt segments to guide scene transitions and progressions.

How to Use

  1. Write your prompt — describe the scene, characters, motion, camera style, and atmosphere in detail. Use the Prompt Enhancer for better results.
  2. Select aspect ratio — 16:9 for landscape, 9:16 for portrait/social, 1:1 for square.
  3. Set duration — choose between 3 and 15 seconds based on your scene length.
  4. Enable sound (optional) — generate synchronized audio alongside the video.
  5. Select shot_type (optional) — use intelligence for automatic scope, or customize for manual control.
  6. Add multi-prompt segments (optional) — click Add Item to guide scene transitions with additional prompts.
  7. Run — submit and download your video.

Pricing

DurationWithout SoundWith Sound
3s$0.252$0.336
5s$0.420$0.560
10s$0.840$1.120
15s$1.260$1.680

Billing Rules

  • Base rate: $0.42 per 5 seconds ($0.084 per second)
  • Sound surcharge: +33% when sound is enabled
  • Duration range: 3–15 seconds

Best Use Cases

  • Professional Content — High-quality videos at a more accessible price than O3 Pro.
  • Social Media — Create engaging videos for TikTok, Reels, and Stories.
  • Marketing Videos — Produce promotional content with optional synchronized sound.
  • Concept Visualization — Bring creative ideas to life quickly from text descriptions.
  • Extended Scenes — Up to 15 seconds for longer scene development and storytelling.

Pro Tips

  • Use the Prompt Enhancer to refine your descriptions automatically.
  • Match aspect ratio to your platform: 16:9 for YouTube, 9:16 for TikTok and Reels, 1:1 for Instagram.
  • Enable sound for a complete video experience with synchronized audio.
  • Be specific about camera movements, lighting, and atmosphere for best results.
  • Use shorter durations (3–5s) for testing, longer (10–15s) for final production.
  • Use multi_prompt to build smooth narrative progressions across a single clip.

Notes

  • customize is the default shot_type.
  • In customize mode, use multi_prompt to define each shot manually.
  • When customize is used with multi_prompt, the top-level prompt is not used for storyboard generation.
  • intelligence automatically creates the storyboard from the top-level prompt, so prompt must not be empty.
  • multi_prompt is ignored when shot_type is set to intelligence.

Related Models

Note:This website uses AI models provided by third parties. Documentation prices are for reference and may be outdated. The Generate button shows an estimate; the final task charge prevails.

Kling Video O3 Std Text To Video API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/kwaivgi/kling-video-o3-std/text-to-video with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Kling Video O3 Std Text To Video below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "aspect_ratio": "16:9",
    "duration": 5,
    "sound": false,
    "shot_type": "customize"
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/kwaivgi/kling-video-o3-std/text-to-video" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/kwaivgi/kling-video-o3-std/text-to-video";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "aspect_ratio": "16:9",
        "duration": 5,
        "sound": false,
        "shot_type": "customize"
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "aspect_ratio": "16:9",
    "duration": 5,
    "sound": False,
    "shot_type": "customize"
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/kwaivgi/kling-video-o3-std/text-to-video", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout", "deleted"}:
        raise RuntimeError(result)
    time.sleep(2)

Kling Video O3 Std Text To Video API — Frequently asked questions

What is the Kling Video O3 Std Text To Video API?

Kling Video O3 Std Text To Video is a Kuaishou model for video generation, exposed as a REST API on WaveSpeedAI. Kling Omni Video O3 (Standard) is Kuaishou's advanced unified multi-modal video model with MVL (Multi-modal Visual Language) technology. Text-to-Video mode generates cinematic videos from text prompts with subject consistency, natural physics simulation, and precise semantic understanding. Supports audio generation. Ready-to-use REST API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Kling Video O3 Std Text To Video API?

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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates Python, JavaScript, and cURL examples for submitting requests and polling results. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/kwaivgi/kwaivgi-kling-video-o3-std-text-to-video.

How much does Kling Video O3 Std Text To Video cost per run?

Kling Video O3 Std Text To Video starts at $0.42 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.

What inputs does Kling Video O3 Std Text To Video accept?

Key inputs: `prompt`, `aspect_ratio`, `duration`, `multi_prompt`, `shot_type`, `sound`. 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/kwaivgi/kwaivgi-kling-video-o3-std-text-to-video.

How long does Kling Video O3 Std Text To Video take to generate?

Reported generation time on WaveSpeedAI is around 52 seconds per request. This is an estimate, not a latency guarantee; queue time and input settings can change the total wait. live status is visible in the prediction record.

Can I use Kling Video O3 Std Text To Video outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (Kuaishou). Check the provider's applicable terms and WaveSpeedAI's Terms of Service before commercial use.