Alibaba's Wan2.1 Turbo is a cutting-edge text-to-video AI model optimized for efficient generation with balanced performance and speed. It processes large context inputs and excels in generating high-quality videos with smooth temporal dynamics and rich semantic alignment between text and visuals.
Wan2.1 Turbo achieves excellent video generation quality while significantly reducing inference time and compute compared to larger models, making it well-suited for real-time or cost-sensitive applications. It retains Alibaba’s hallmark capability in dynamic motion, spatial relationships, and compositional accuracy.

Vs. Wan2.2-T2V: Slightly lower maximum generation resolution and model size, but offers much faster inference and cost efficiency.
Vs. Gemini 2.5 Flash: Competitive multi-modal accuracy optimized for speed.
Vs. OpenAI GPT-4 Vision: Smaller context window but more cost-effective for video generation tasks.
Vs. Qwen3-235B-A22B: Focused on turbo efficiency with slightly lower retrieval precision.
Some generation outputs may occasionally include minor artifacts or less detailed textures compared to the largest Wan2.2 models; however, these can often be minimized via prompt engineering or post-processing.
import requests, time headers = {"Authorization": "Bearer " + AIMLAPI_KEY} job = requests.post( "https://api.aimlapi.com/v2/video/generations", headers=headers, json={ "model": "alibaba/wan2.1-t2v-turbo", "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 ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }; const job = await (await fetch("https://api.aimlapi.com/v2/video/generations", { method: "POST", headers, body: JSON.stringify({ "model": "alibaba/wan2.1-t2v-turbo", "prompt": "A serene timelapse of clouds over a mountain range" }), })).json(); let res; do { await new Promise((r) => setTimeout(r, 5000)); res = await (await fetch(`https://api.aimlapi.com/v2/video/generations?generation_id=${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":"alibaba/wan2.1-t2v-turbo","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 |
|---|---|---|---|---|
Wan 2.1 Turbo This page | Video generation |
Wan 2.1 Turbo takes image, text, video as input and returns video.
Wan 2.1 Turbo became available on November 20, 2025.
Wan 2.1 Turbo is priced at $0.234 / gen.
Wan 2.1 Turbo is billed per generation — a fixed charge per output rather than by prompt length.
Yes, Wan 2.1 Turbo accepts image input as well as a text prompt.
Wan 2.1 Turbo was built by Alibaba Cloud.
Send a request to v2/generate/video/alibaba/generation with alibaba/wan2.1-t2v-turbo as the model id.
Yes. Wan 2.1 Turbo is served through AI/ML API, so the same key and endpoint format used for other models applies.
It is a video generation model that turns text and image inputs into video output.