Kling 2.5 Turbo API

About Kling 2.5 Turbo

Kling 2.5 Turbo turns a prompt or an opening frame into a 5 or 10 second 1080p clip with a real audio track already mixed in - the least expensive 1080p clip in the Kling lineup.

Call it with the model name kling/2.5-turbo/text-to-video on POST /jobs/createTask, from 42 credits for a 5-second clip ($0.42). New accounts get 30 free credits to try it in the Playground first.

Introduction

Kling 2.5 Turbo Text to video turns a written prompt into a 5 or 10 second clip at 1080p, with a real audio track generated in the same pass - there is no silent option on this model. Choose an aspect ratio of 16:9, 9:16 or 1:1 before you write, since the prompt should be composed for that frame.

Choose a Kling 2.5 Turbo mode by starting material

Key features

Sound is generated, not added afterwards

Every clip comes back with an audio track built in the same pass as the picture - there is no field to switch it off. The prompt is the only place to direct it: write what the scene should sound like, not just what it should look like.

Two dials for repeat takes

guidance_scale (0 to 1) sets how literally the clip follows your wording, and negative_prompt lists anything to keep out of frame. There is no seed on this model, so two runs of the same prompt return two different takes; use these two fields to nudge a take back toward what you wrote rather than rewriting the whole prompt.

Request parameters

Pricing

Prices are in credits, the same credits you use on the website (1 credit = $0.01). The hold is taken when the task is accepted and settled to the actual charge when it finishes; failed tasks are refunded.

For an exact number before you run, send the same body to POST /jobs/quote.

Use cases

Vertical or square clips that already have their sound

9:16 or 1:1 output with ambience or music mixed in - no separate audio pass before the clip is ready to post.

Prompt guide & pro tips

Write it as a shot: subject, action, camera, light, sound

The gallop example above is a workable template: who is in frame and what they're wearing, what they do, then the camera move and the light, and finally what it should sound like.

Put relationships in the blocking, not just the label

Writing "a couple" into a prompt doesn't guarantee the render reads that way - in one of our tests, two men racing bicycles downhill came out looking like friends rather than a couple, because the prompt named the relationship but the blocking didn't show it. A physical cue (a hand held, a shared glance, matching pace) carries a relationship better than a label alone.

Since sound is always on, write for the ear as well as the eye

Hooves on wet cobblestone, wind past a visor, distant traffic - naming what a scene sounds like is not optional here the way it is on a silent Kling model, so give the audio side of the prompt the same attention as the visual side.

API quick start

Call the Kling 2.5 Turbo API in three steps

1. Create an API key. Sign in to PopNow and create a key in the API console. Keys start with sk-popnow- and use the same credits as the website.
2. Send the request. POST /jobs/createTask with model kling/2.5-turbo/text-to-video and an input object that follows the parameter table. The response returns a task ID straight away.
3. Get the result. Poll GET /jobs/recordInfo with the task ID, or pass a callBackUrl and we post the result to it. Download the output links when the task succeeds.

# 1. Create the task. Keep the Idempotency-Key if you retry after a network error.
export IDEMPOTENCY_KEY="$(uuidgen)"
curl -X POST https://api.popnow.ai/api/v1/jobs/createTask \
  -H "Authorization: Bearer $POPNOW_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $IDEMPOTENCY_KEY" \
  -d '{
  "model": "kling/2.5-turbo/text-to-video",
  "input": {
    "prompt": "A slow aerial shot drifting over a misty pine forest at sunrise",
    "aspect_ratio": "16:9",
    "duration_seconds": 5
  }
}'

# 2. Copy data.taskId from the response, then poll until state is succeeded, failed, canceled or expired.
TASK_ID="TASK_ID_FROM_RESPONSE"
curl "https://api.popnow.ai/api/v1/jobs/recordInfo?taskId=$TASK_ID" \
  -H "Authorization: Bearer $POPNOW_API_KEY"

Replace the prompt and any links with your own. The API tab has the response, polling and callback reference.

Kling 2.5 Turbo API questions

All Kling models

Kling 3.0 Turbo runs Kling's newer engine with 3 to 15 second clips, for a bit more.

• Kling 3.0 API4K clips, multi-shot cuts and motion controlFrom 51 credits for a 5-second clip
• Kling O3 APIKling’s unified model: create, animate, reference and edit up to 4KFrom 51 credits for a 5-second clip
• Kling 3.0 Turbo APIFaster Kling 3.0 with sound on every clipFrom 84 credits for a 5-second clip
• Kling Avatar 2.0 APIA portrait that speaks or sings your audio, up to 5 minutesFrom 7.68 credits per second
• Kling 2.6 API1080p clips with optional sound and motion controlFrom 52 credits for a 5-second clip
• Kling 2.5 Turbo API1080p clips with a soundtrack on every takeFrom 42 credits for a 5-second clip
• Kling 2.1 Master APISilent 1080p clips with fine prompt controlFrom 162 credits for a 5-second clip
• Kling 2.1 APIAnimate a frame at 720p or 1080p, with an optional end frameFrom 27 credits for a 5-second clip

Other video APIs

• MiniMax H3 APIExpressive clips with audio, up to 2KFrom 28 credits for a 5-second clip
• Seedance 2.5 APIByteDance's newest: 30-second clips with native audioFrom 56 credits for a 5-second clip
• Vidu Q4 Preview APIUp to 4K clips with sound and spoken dialogueFrom 34 credits for a 5-second clip
• Wan 3.0 APIUp to 30-second clips with synced audioFrom 34 credits for a 5-second clip
• MiniMax H3 Max APIFast clips with ambience, effects and musicFrom 38 credits for a 5-second clip
• LTX 2.5 APILong 20-second takes up to 4K with a soundtrackFrom 68 credits for a 5-second clip

More about Kling 2.5 Turbo

Try it

Kling 2.5 Turbo AI Video Generator onlineCreate videos with Kling 2.5 Turbo in PopNow

Docs

Kling 2.5 Turbo model ID and input schema in the API docsPopNow API quickstart: your first request in five minutesImage to video guide for the PopNow APIWebhooks: get Kling 2.5 Turbo results without polling