Kling 2.6 Pro transforms static images into dynamic video clips through advanced motion synthesis, delivering cinematic visuals and native audio integration. This top-tier model excels at animating portraits, product shots, and scenes with fluid movements and precise prompt adherence.
The model excels at handling smooth, high-fidelity motion, complex camera physics, and maintaining environmental stability without stretching or collapsing elements. It produces highly realistic visuals with strong handling of lighting, shadows, and reflections.
vs Veo 3.1: Kling excels in character lip-sync and native audio for dialogue-heavy clips, while Veo prioritizes cinematic editing workflows and ambient sound. Kling offers better value at lower per-second costs, making it ideal for performance-driven content over Veo's frame control.
vs Sora 2: Kling provides granular motion control and audio co-generation superior for short, precise animations, unlike Sora's focus on long-form realism. Benchmarks show Kling's edge in prompt fidelity for product and portrait tasks, though Sora handles complex narratives better.
vs Wan 2.5: Kling delivers higher fluidity and 1080p polish with integrated audio, surpassing Wan's open-source speed in professional visuals. It wins for commercial use cases like portraits due to better consistency, while Wan suits cost-sensitive bulk generation.
import requests, time headers = {"Authorization": "Bearer " + AIMLAPI_KEY} job = requests.post( "https://api.aimlapi.com/v2/video/generations", headers=headers, json={ "model": "kling-video/v2.6/pro/image-to-video", "prompt": "A serene timelapse of clouds over a mountain range" }, ).json() gid = job["id"] while True: res = requests.get(f"https://api.aimlapi.com/v2/video/generations?generation_id={gid}", headers=headers).json() if res.get("status") in ("completed", "error"): break time.sleep(5) print(res["video"]["url"])
const headers = { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }; const job = await (await fetch("https://api.aimlapi.com/v2/video/generations", { method: "POST", headers, body: JSON.stringify({ "model": "kling-video/v2.6/pro/image-to-video", "prompt": "A serene timelapse of clouds over a mountain range" }), })).json(); let res; do { await new Promise((r) => setTimeout(r, 5000)); res = await (await fetch(`https://api.aimlapi.com/v2/video/generations?generation_id=${job.id}`, { headers })).json(); } while (!["completed", "error"].includes(res.status)); console.log(res.video.url);
# submit the generation — the response contains the job "id" curl -X POST https://api.aimlapi.com/v2/video/generations \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"kling-video/v2.6/pro/image-to-video","prompt":"A serene timelapse of clouds over a mountain range"}' # then poll until status is "completed" — video.url holds the result curl "https://api.aimlapi.com/v2/video/generations?generation_id={id}" -H "Authorization: Bearer $AIMLAPI_KEY"
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Output | |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Kling 2.6 Pro Image-to-Video This page | Video generation |
Kling 2.6 Pro Image-to-Video takes image as input and returns video.
Kling 2.6 Pro Image-to-Video is priced at $0.091 / sec (variable).
Kling 2.6 Pro Image-to-Video is billed per generation — a fixed charge per output rather than by prompt length.
Yes, Kling 2.6 Pro Image-to-Video accepts image input as well as a text prompt.
Kling 2.6 Pro Image-to-Video was built by Kling AI.
Send a request to v2/video/generations with kling-video/v2.6/pro/image-to-video as the model id.
Yes. Kling 2.6 Pro Image-to-Video is served through AI/ML API, so the same key and endpoint format used for other models applies.
Yes, it includes audio generation as one of its features.
No, its modality is image-to-video only.
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