ByteDance’s Seedance 1.0 Pro is a high-end generative video model built for cinematic content creation. With native support for both text-to-video and image-to-video, it outputs 5–10s videos in 1080p with smooth motion, coherent shot transitions, and precise camera behavior. The model is optimized for multi-subject scenes and aesthetic consistency—ideal for marketing, entertainment, and social content. It features multi-shot sequencing, configurable motion dynamics (cameraFixed), and deterministic video generation via seed control.
vs. Sora (OpenAI)
Sora offers unmatched realism, complex physics simulation, and long-form video generation (up to 60s). However, Seedance 1.0 Pro remains competitive for structured video tasks with higher controllability, consistent multi-shot logic, and prompt determinism — making it more suitable for commercial workflows that require precision over emergent behavior.
vs. Veo 3 (Google DeepMind)
Veo 3 supports native audio, up to 8s generation, and rich cinematic style. Seedance Pro lacks audio but offers superior shot planning, semantic adherence, and fine camera control — giving creators more compositional control in brand-sensitive video content.
vs. Kling 2.1 Master (Kuaishou)
Kling 2.1 emphasizes visual fluidity and speed. Seedance 1.0 Pro surpasses it in prompt fidelity, cross-shot subject stability, and precise cinematic camera language, making it better for storytelling and creative production.
Accessible via AI/ML API. Documentation: available here.
import requests, time headers = {"Authorization": "Bearer " + AIMLAPI_KEY} job = requests.post( "https://api.aimlapi.com/v2/video/generations", headers=headers, json={ "model": "bytedance/seedance-1-0-pro", "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 ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }; const job = await (await fetch("https://api.aimlapi.com/v2/video/generations", { method: "POST", headers, body: JSON.stringify({ "model": "bytedance/seedance-1-0-pro", "prompt": "A serene timelapse of clouds over a mountain range" }), })).json(); let res; do { await new Promise((r) => setTimeout(r, 5000)); res = await (await fetch(`https://api.aimlapi.com/v2/video/generations?generation_id=${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":"bytedance/seedance-1-0-pro","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 |
|---|---|---|---|---|
Seedance 1.0 Pro This page | Video generation |
Seedance 1.0 Pro takes image, text, video as input and returns video.
Seedance 1.0 Pro is priced at $3.25 / 1M tokens.
Seedance 1.0 Pro is billed per generation — a fixed charge per output rather than by prompt length.
Yes, Seedance 1.0 Pro accepts image input as well as a text prompt.
Seedance 1.0 Pro was built by ByteDance.
Send a request to v2/generate/video/bytedance/generation with bytedance/seedance-1-0-pro as the model id.
Yes. Seedance 1.0 Pro is served through AI/ML API, so the same key and endpoint format used for other models applies.
It generates high-quality videos from text prompts, with an emphasis on detail and consistency.
It is a video generation model that produces video output from image, text, and video inputs.
-min.webp){kind=small}
