# Cosmos 3 Super API

> טעקסט־צו־בילד־שאַפֿונג מיט פּראָמפּט־אויסברייטערונג און אַן אָפּציאָנאַלן אַגענטישן מאָדע פֿאַר פֿאַרגלײַכן קאַנדידאַטן

שאַפֿט 1 ביז 4 בילדער פֿון אַ `prompt` מיט ביז 4096 אותיות. די זײַטן פֿון `image_size` ווערן באַגרענעצט צו 512-1280 px. `enable_agentic_generation` שאַפֿט עטלעכע קאַנדידאַטן און פֿאַרבעסערט דעם פּראָמפּט צווישן ראָנדן, מיט ביז 3 איטעראַציעס. עס האָט אויך `negative_prompt`, `guidance_scale` ביז 20, `num_inference_steps` ביז 50, און jpeg אָדער png רעזולטאַט.

- 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/yi/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 | טעקסט־באַשרײַבונג פֿונעם געוואונטשענעם רעזולטאַט־בילד. |
| `negative_prompt` |  | string | no | `` | ≤ 1024 characters | נעגאַטיווע גיידאַנס וואָס אידענטיפֿיצירט אומגעוווּנטשענע פֿאַרבן, אָביעקטן אָדער אַרטעפֿאַקטן וואָס גענערירונג זאָל פֿאַרמײַדן. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | פּראָמפּט־פֿאַרבעסערונג פֿאַר גענערירונג דורך OpenRouter, וואָס שאַפֿט די dense structured-JSON פֿאָרשטעלונג גענוצט צו טרענירן Cosmos3 ווען אַקטיווירט. בײַ דורכפֿאַל גייט בילד־גענערירונג ווײַטער מיטן אומגעענדערטן פּראָמפּט. |
| `enable_agentic_generation` |  | boolean | no | `false` |  | אויטאָמאַטישער פּראָמפּט־פֿאַרבעסערונג־לופּ פֿאַר נענטערע צוהעריקייט צום אָריגינעלן פּראָמפּט. יעדער רונד גענערירט עטלעכע בילד־קאַנדידאַטן און פֿאַרגלײַכט זיי, מיט פּראָמפּט־ענדערונגען צווישן די רונדן. |
| `agentic_max_iterations` |  | integer | no | `2` | 1 – 3 | גרענעץ פֿון פֿאַרבעסערונג־רונדן פֿאַר גענערירונג מיט agentic מאָדע אַקטיווירט. |
| `agentic_samples_per_iteration` |  | integer | no | `2` | 1 – 3 | בילד־קאַנדידאַטן פּער איטעראַציע פֿאַרן agentic לופּ; באַשטימט וויפֿל בילדער קאָנקורירן אין דער אפֿשאַצונג איידער דער בעסטער גייט צו איבערשרײַבן דעם פּראָמפּט. |
| `agentic_early_stop` |  | boolean | no | `true` |  | פֿרי־אָפּשטעל־קאָנטראָל וואָס באַטראַכט אַ שטאַרקע בילד־צו־פּראָמפּט־צופּאַסונג פֿאַר גענוג צו ענדיקן אָן ווײַטערדיקע איטעראַציעס. |
| `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` | באַשטימען די רעזולטאַט־בילד־דימענסיעס; צאַמפּרעסן האַלט יעדן ראַנד צווישן 512 און 1280px, מיט ראַנד־לענגען באַגרענעצט צו קייפֿלען פֿון 16. |
| `num_inference_steps` |  | integer | no | `28` | 1 – 50 | דענאָיזינג־סטעפּ־צאָל, וואָס וועקסלט לענגערע פּראַסעסירונג קעגן בעסערע קוואַליטעט ווען די צאָל וואַקסט. |
| `guidance_scale` |  | number | no | `4` | 0 – 20 | שטאַרקייט פֿון classifier-free guidance. |
| `num_images` | `num_outputs` | integer | no | `1` | 1 – 4 | געבעטן צאָל בילדער פֿאַר גענערירונג. |
| `seed` |  | integer \| null | no |  |  | סיד פֿאַר איבערחזרבאַרע בילד־גענערירונג. דאָס רעזולטאַט־בילד בלײַבט אומגעענדערט צווישן לויפֿן, סיידן דער סיד, פּראָמפּט אָדער מאָדעל־ווערסיע ענדערט זיך. |
| `enable_safety_checker` |  | boolean | no | `true` |  | אינהאַלט־מאָדעראַציע־באַשטימער פֿאַר פּראָמפּט־אַרײַנגעבונג און בילד־רעזולטאַט. אַקאַונץ מוזן זײַן אָטעריזירט צו בייפּאַסן מאָדעראַציע; אַנדערש בלײַבן קאָנטראָלן נייטיק אומאָפּהענגיק פֿון דער באַשטעטיקונג. יעדעס בילד וואָס ווערט באַטראַכט ווי אומזיכער ווערט פֿאַרביטן מיט אַ שוואַרצן בילד. |
| `output_format` |  | enum (string) | no | `jpeg` | `jpeg`, `png` | פֿײַל־פֿאָרמאַט פון דעם רעזולטירנדיקן בילד. |

## 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} | בילדער געשאַפֿן דורך דעם מאָדעל. |
| `seed` | integer | סיד־ווערט וואָס ווערט געווענדט בעת גענערירונג. |
| `has_nsfw_concepts` | array of boolean | סטאַטוס פֿון דעם זיכערקייט־טשעקער פֿאַר יעדן גענערירטן בילד. |

## 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