# Cosmos 3 Super API

> He waihanga kuputuhi-ki-ahua me te whakawhānui akiaki me tētahi aratau kōwhiringa whakataurite kaitono ā-kaitūhura

Ka waihanga i ngā whakaahua 1 ki te 4 mai i tētahi `prompt` kia 4096 pūāhua te mōrahi. Ka herea ngā tapa o `image_size` ki te 512-1280 px. Mā `enable_agentic_generation` e whakaputa ētahi kaitono, e whakamahine hoki i te akiaki i waenga i ngā rauna, tae atu ki ngā hurihanga e 3. Kei reira hoki `negative_prompt`, `guidance_scale` tae atu ki te 20, `num_inference_steps` tae atu ki te 50, me te putanga jpeg, png rānei.

- Model id: `nvidia/cosmos-3-super/text-to-image`
- Made by: NVIDIA
- Category: Text to Image
- Output: image
- Price per run: from $0.04 / run of output image (cheapest run $0.04 (40 API credits))
- Run: `POST https://api.doitong.ru/v1/run/nvidia/cosmos-3-super/text-to-image`
- Quote: `POST https://api.doitong.ru/v1/quote/nvidia/cosmos-3-super/text-to-image`
- Docs page: https://doitong.com/mi/developers/models/nvidia/cosmos-3-super/text-to-image

## Pricing

Price: **from $0.04 / run of output image** (the lowest tier; the quote prices your exact input). Price per run: the input files are measured before the run (length, resolution, frame rate). The quote measures the same files and is exactly what the run charges.

The full example input below costs $0.04 = 40 API credits (1 run × $0.04).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.ru/v1/quote/nvidia/cosmos-3-super/text-to-image` with the same JSON body returns the exact price for that input; the quote is exactly what a run charges. Invalid input is never charged and failed or canceled requests are refunded automatically.

## Input parameters

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  | 1 – 4096 characters | Whakaahuatanga kuputuhi o te atahanga putanga e hiahiatia ana. |
| `negative_prompt` |  | string | no | `` | ≤ 1024 characters | Te arataki tōraro e tohu ana i ngā tae, taonga, parahanga rānei kāore e hiahiatia ana kia karohia i te whakaputanga. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Te whakapai tohutohu i mua i te whakaputanga mā OpenRouter, e whakaputa ana i te whakaaturanga dense structured-JSON i whakamahia hei whakangungu i Cosmos3 ina whakakāngia. Ki te rahua, ka haere tonu te whakaputa atahanga me te tohutohu kāore i whakarerekētia. |
| `enable_agentic_generation` |  | boolean | no | `false` |  | Te koropiko whakapai tohutohu aunoa e whai ana kia piri ake ki te tono taketake. I ia huringa ka whakaputa i ngā kaitono atahanga maha, ka whakataurite, ā, ka whakahou i te tohutohu. |
| `agentic_max_iterations` |  | integer | no | `2` | 1 – 3 | Te tepe huringa whakapai mō te whakaputa ina whakakāngia te aratau agentic. |
| `agentic_samples_per_iteration` |  | integer | no | `2` | 1 – 3 | Te tatau kaitono atahanga mō ia iterenga o te koropiko agentic; ka whakatau e hia ngā atahanga ka whakataetae i te aromātai i mua i te tuku i te mea pai ki te tuhi anō i te tohutohu. |
| `agentic_early_stop` |  | boolean | no | `true` |  | Te whakahaere whakamutu wawe e kī ana he rawaka te taurite kaha i waenga i te atahanga me te tohutohu hei mutu me te kore iterenga anō. |
| `image_size` |  | object {width, height} \| enum (string) | no | `square_hd` | `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3`, `landscape_16_9` | Tautuhia ngā rahinga atahanga putanga; ka pupuri te whakawhāiti i ia tapa i waenga i te 512 me te 1280px, ā, me whakareatanga o te 16 ngā roa tapa. |
| `num_inference_steps` |  | integer | no | `28` | 1 – 50 | Te tatau hīkoi tango haruru, ka whakawhiti i te roa o te tukatuka mō te kounga pai ake ina whakapikihia te tatau. |
| `guidance_scale` |  | number | no | `4` | 0 – 20 | Te kaha o te arataki kore-whakarōpū. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | Te tatau atahanga e tonoa ana mō te whakaputanga. |
| `seed` |  | integer \| null | no |  |  | Te kākano mō te whakaputa atahanga tukurua. Ka noho ōrite te atahanga putanga i ngā whakahaere anō, engari ka rerekē te kākano, te tohutohu, te putanga tauira rānei. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Te whakakā/whakaweto whakaōrite ihirangi mō te tāuru tohutohu me te putanga atahanga. Me whai mana ngā pūkete hei karo i te whakaōrite; ki te kore, he whakahauanga tonu ngā tirohanga. Ka whakakapia te atahanga kāore e haumaru ki te atahanga pango. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | Te hōputu kōnae mō te atahanga ka puta. |

## Example input

Required parameters only:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

A fuller example:

```json
{
  "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

## Run it

Set `DOITONG_API_KEY` to a key from https://doitong.com/developers/dashboard#keys. `?wait=20` returns the finished request in the same call when it is ready within 20 seconds; otherwise poll `GET /requests/{id}` (it also accepts `?wait=`), or pass `webhook_url`.

### curl

```bash
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/nvidia/cosmos-3-super/text-to-image?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.ru/v1";
const headers = {
  "Authorization": "Bearer " + process.env.DOITONG_API_KEY,
  "Content-Type": "application/json",
};

// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/nvidia/cosmos-3-super/text-to-image?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);

// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
  res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
  request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
```

### Python

```python
import os
import requests

API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/nvidia/cosmos-3-super/text-to-image", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
    raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])

# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
    request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
    raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
```

### MCP

The MCP server at `https://api.doitong.ru/v1/mcp` exposes the tools `search_models`, `get_model`, `quote`, `run`, `get_request`, `cancel_request`, `list_requests`, `create_upload` and `get_account`. A `run` call for this model:

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "run",
    "arguments": {
      "model_id": "nvidia/cosmos-3-super/text-to-image",
      "input": {
        "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "wait_seconds": 20
    }
  }
}
```

## Response

Every call returns a request object. `status` is one of `queued`, `running`, `succeeded`, `failed`, `canceled`. `outputs` lists the generated files with URLs on our storage (kept forever, or 7 days with `?storage=temporary`; `storage` says which); `output` is the model's own result object with the same URLs.

```json
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "nvidia/cosmos-3-super/text-to-image",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 40,
    "usd": "0.04",
    "charged": 40,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "output": {
    "images": [
      {
        "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
        "content_type": "image/jpeg",
        "file_name": "0-output.jpeg",
        "file_size": 1843200,
        "width": 1024,
        "height": 768
      }
    ],
    "seed": 42,
    "has_nsfw_concepts": [
      false
    ]
  },
  "outputs": [
    {
      "type": "image",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `images` | array of object {url, content_type, file_name, file_size, width, height} | Ngā atahanga i whakaputaina e te tauira. |
| `seed` | integer | Te uara kākano i whakamahia i te whakaputanga. |
| `has_nsfw_concepts` | array of boolean | Tūnga o te haki kaitaki haumaru mō ia atahanga kua whakaputaina. |

## Related models

- [Cosmos 3 Super Image to Video](https://doitong.com/developers/models/nvidia/cosmos-3-super/image-to-video.md) (`nvidia/cosmos-3-super/image-to-video`): from $0.05 / second of output video
- [FLUX.1 \[dev\]](https://doitong.com/developers/models/flux/dev.md) (`flux/dev`): $0.025 / megapixel
- [FLUX.1 \[schnell\]](https://doitong.com/developers/models/flux/schnell.md) (`flux/schnell`): $0.003 / megapixel
- [FLUX.2 \[dev\]](https://doitong.com/developers/models/flux-2.md) (`flux-2`): $0.012 / megapixel
- [FLUX.2 \[pro\]](https://doitong.com/developers/models/flux-2-pro.md) (`flux-2-pro`): $0.015 / megapixel of output image
- [GPT Image 2.5 Text to Image](https://doitong.com/developers/models/openai/gpt-image-2.5/flare/text-to-image.md) (`openai/gpt-image-2.5/flare/text-to-image`): from $0.008 / image
- [Ideogram V4.5](https://doitong.com/developers/models/ideogram/v4.5.md) (`ideogram/v4.5`): from $0.03 / image
- [Nano Banana 2](https://doitong.com/developers/models/nano-banana-2.md) (`nano-banana-2`): from $0.06 / image

## Links

- HTML page: https://doitong.com/developers/models/nvidia/cosmos-3-super/text-to-image
- All models and guides for AI agents: https://doitong.com/developers/llms.txt
- OpenAPI 3.1 with this model's typed request body: https://doitong.com/developers/openapi.json?model=nvidia/cosmos-3-super/text-to-image
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/nvidia/cosmos-3-super/text-to-image