# MiniMax H3 Max Text to Video API > Generate 1080p video from text with the MiniMax H3 Max API on Muapi. Cinematic motion, prompt expansion, pay per generation. ## Overview - **Endpoint**: `POST https://api.muapi.ai/api/v1/minimax-h3-max-text-to-video` - **Model ID**: `minimax-h3-max-text-to-video` - **Category**: Text to Video - **Variant**: MiniMax H3 Max Text to Video - **Family**: minimax-h3-max - **Cost**: 0.26 credits per call (some modellen compute cost dynamically based on params) ## API Usage MuApi uses a **submit-then-poll** pattern: submit a job, get a `request_id`, then poll the predictions endpoint until `status` is `completed`. Optionally pass `?webhook=YOUR_URL` on the submit call to receive a POST callback when the job finishes (skip polling). **Authentication**: send your MuApi key in the `x-api-key` header. Get one at https://muapi.ai/access-keys. ### 1. Submit a job ```http POST https://api.muapi.ai/api/v1/minimax-h3-max-text-to-video Content-Type: application/json x-api-key: YOUR_API_KEY ``` **Minimum (required only):** ```json { "prompt": "" } ``` **Full example (all params):** ```json { "prompt": "", "aspect_ratio": "16:9", "resolution": "768p", "duration": 5, "prompt_expansion_mode": "balanced" } ``` **Response:** ```json { "request_id": "abc123", "status": "processing" } ``` ### 2. Poll voor het resultaat ```http GET https://api.muapi.ai/api/v1/predictions/{request_id}/result x-api-key: YOUR_API_KEY ``` Possible `status` values: `queued`, `pending`, `processing`, `completed`, `failed`, `cancelled`. Poll every 2-5 seconds until terminal. When `completed`, the result URLs are in the `outputs` array. **Example response when `completed`:** ```json { "id": "abc123", "status": "completed", "outputs": [ "https://cdn.muapi.ai/.../output.png" ], "urls": { "get": "https://api.muapi.ai/api/v1/predictions/abc123/result" }, "created_at": "2026-05-08T12:34:56Z", "has_nsfw_contents": [] } ``` ### cURL ```bash 1. Submit REQUEST_ID=$(curl -s -X POST https://api.muapi.ai/api/v1/minimax-h3-max-text-to-video \ -H "x-api-key: $MUAPI_API_KEY" \ -H "Content-Type: application/json" \ -d '{"prompt":""}' | jq -r .request_id) 2. Poll until completed while :; do RESP=$(curl -s https://api.muapi.ai/api/v1/predictions/$REQUEST_ID/result -H "x-api-key: $MUAPI_API_KEY") STATUS=$(echo "$RESP" | jq -r .status) [ "$STATUS" = "completed" ] && echo "$RESP" | jq .outputs && break [ "$STATUS" = "failed" ] && echo "$RESP" && exit 1 sleep 3 done ``` ### Python ```python import os, time, requests API = "https://api.muapi.ai/api/v1" headers = {"x-api-key": os.environ["MUAPI_API_KEY"]} r = requests.post(f"{API}/minimax-h3-max-text-to-video", headers=headers, json={"prompt":""}) request_id = r.json()["request_id"] while True: res = requests.get(f"{API}/predictions/{request_id}/result", headers=headers).json() if res["status"] == "completed": print(res["outputs"]); break if res["status"] == "failed": raise RuntimeError(res.get("error")); time.sleep(3) ``` ## Input Schema The API accepts the following input parameters: - **`prompt`** (`string`, _required_): filmpje, , . - **`aspect_ratio`** (`string`, _optional_): No description. - Default: `"16:9"` - Options: `"21:9"`, `"16:9"`, `"4:3"`, `"1:1"`, `"3:4"`, `"9:16"` - **`resolution`** (`string`, _optional_): Output resolution. 1080p applies latent refinement from a 768p source. - Default: `"768p"` - Options: `"480p"`, `"768p"`, `"1080p"` - **`duration`** (`integer`, _optional_): uitvoerduur () . - Default: `5` - Options: `"5"`, `"6"`, `"7"`, `"8"`, `"9"`, `"10"`, `"11"`, `"12"`, `"13"`, `"14"`, `"15"` - **`prompt_expansion_mode`** (`string`, _optional_): Prompt rewriting effort. 'quality' can add up to ~30s of processing. - Default: `"balanced"` - Options: `"disabled"`, `"balanced"`, `"quality"` ## Resultaat Schema The polling endpoint returns the following fields: - **`id`** (`string`): The request ID. - **`status`** (`string`): One of `queued`, `pending`, `processing`, `completed`, `failed`, `cancelled`. - **`outputs`** (`array`): URLs to generated images/videos/audio. Empty until `status` is `completed`. - **`urls.get`** (`string`): Self-link to re-fetch this prediction. - **`error`** (`string` | `null`): Error message if `status` is `failed`. - **`created_at`** (`string`): ISO-8601-tijdstempel van het moment waarop de aanvraag is gemaakt. - **`has_nsfw_contents`** (`array of boolean`): Per-output NSFW detection flags. ## Webhooks (optional) Voeg `?webhook=https://uw-server/pad` toe aan de verzend-URL. Wanneer de taak een eindstatus bereikt, POST MuApi dezelfde vorm als het polling-antwoord op uw URL - geen polling nodig. ## Agent Integration MuApi ships an MCP server and CLI so agents (Claude Code, Cursor, custom) can call this endpoint without writing HTTP code: ```bash # Install the CLI npm install -g muapi-cli # Authenticate once muapi auth login # Expose all MuApi modellen as MCP tools to your agent muapi mcp serve ``` The MCP server exposes tools that wrap submit + poll for every model, including `minimax-h3-max-text-to-video`. See `muapi --help` for category-specific shortcuts (`muapi image generate`, `muapi video from-image`, etc.). ## Related Models - [MiniMax H3 Max Image to Video](https://muapi.ai/nl/playground/minimax-h3-max-image-to-video) - [MiniMax H3 Max Turbo Text to Video](https://muapi.ai/nl/playground/minimax-h3-max-turbo-text-to-video) - [MiniMax H3 Max Turbo Image to Video](https://muapi.ai/nl/playground/minimax-h3-max-turbo-image-to-video) - [MiniMax H3 Max Text to Video](https://muapi.ai/nl/playground/minimax-h3-max-text-to-video) - [MiniMax H3 Max Reference to Video](https://muapi.ai/nl/playground/minimax-h3-max-reference-to-video) ## Bronnen - [Playground Page](https://muapi.ai/nl/playground/minimax-h3-max-text-to-video) - [API Reference](https://muapi.ai/nl/playground/minimax-h3-max-text-to-video/api) - [Global llms.txt](https://muapi.ai/nl/llms.txt)