AI Video API — Best Model for Every Job

What is an AI Video API?

An AI video API turns a text prompt, an image, or an existing video clip into new video output through a REST endpoint — no local GPU, no self-hosted model, no separate integration per vendor. Most teams end up needing more than one underlying model, because no single video model wins on every axis: one leads on raw quality, another on price, another on editing an existing clip, another on directed camera motion.

Muapi exposes 500+ models — including every video model on this page — through the same unified REST pattern: one API key, one request/poll flow, pay-per-generation pricing with no subscription.

Choosing a Model by Job, Not by Vendor

Picking "the best AI video model" is the wrong question — the better question is which model fits the specific job. Seedance 2.5 leads on overall quality with multimodal references and multi-scene continuity. PixVerse V6 scales its price with resolution, so a quick preview costs a fraction of a hero shot. Seedance 2.5 Spicy is the unrestricted tier when the standard content filter is too conservative for the use case. Gemini Omni Video Edit and Runway Aleph transform an existing clip instead of generating from scratch. Kling v3.0 Pro Motion Control gives camera-path precision that a generic text-to-video model doesn't expose. MiniMax H3 Open and LTX-2 Pro are open-weights, so output rights and licensing behave differently than closed models. Because every one of these sits behind the same API key, switching models per request is a one-line change, not a new integration.

Key Capabilities

Video Model Comparison

How to Call the AI Video API

1. Pick a model — by category (quality, value, uncensored, editing, motion control, open source) using the comparison table above.
2. Submit the request. POST /api/v1/{model-slug} with a prompt, an image, or a source video, depending on the model.
3. Poll for completion. Check GET /api/v1/predictions/{request_id}/result until status is completed, then download the output video.

curl -X POST https://api.muapi.ai/api/v1/seedance-2.5-text-to-video \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_API_KEY" \
  -d '{
    "prompt": "a drone shot pulling back from a lighthouse at sunset"
  }'

import requests

response = requests.post(
    "https://api.muapi.ai/api/v1/seedance-2.5-text-to-video",
    headers={"x-api-key": "YOUR_API_KEY"},
    json={"prompt": "a drone shot pulling back from a lighthouse at sunset"},
)
request_id = response.json()["request_id"]

result = requests.get(
    f"https://api.muapi.ai/api/v1/predictions/{request_id}/result",
    headers={"x-api-key": "YOUR_API_KEY"},
)
print(result.json())

Frequently Asked Questions