# Meshy 6 · Text to 3D API

> Teksto-to-3D mesh-generator le preview vaj teksturime modosa, opcionalne PBR, rigging thaj animacija

Kerel jekh 3D modelo katar jekh teksto `prompt` dži 600 karakterura. `mode` lel bila-teksturime geometria (`preview`) vaj teksturime rezultato (`full`). `model_type` šaj te avel standard, lowpoly vaj smart-topology, thaj `target_polycount` džal 100 dži 300000, kaj smart topology si limitime 15000. Šaj te thovel PBR mapura, jekh poza, humanoid rigging thaj jekh animacija-preset.

- Model id: `meshy/v6/text-to-3d`
- Made by: Meshy
- Category: Text to 3D
- Output: 3d
- Price: $0.80 / request (cheapest run $0.80 (800 API credits))
- Run: `POST https://api.doitong.com/v1/run/meshy/v6/text-to-3d`
- Quote: `POST https://api.doitong.com/v1/quote/meshy/v6/text-to-3d`
- Docs page: https://doitong.com/rom/developers/models/meshy/v6/text-to-3d

## Pricing

Price: **$0.80 / request**. Billed once per request.

The full example input below costs $0.80 = 800 API credits (1 request × 800 API credits).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.com/v1/quote/meshy/v6/text-to-3d` 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

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `prompt` |  | string | yes |  | ≤ 600 characters | Vakeripe pal o objekto savo trubul te sikavel pes sar 3D modelo, limitime pe 600 karaktera. |
| `mode` |  | enum (string) | no | `full` | `preview`, `full` | keripe mode: 'preview' del geometry bi textures, 'full' del textured modelo kombinirime katar preview thaj refine. |
| `seed` |  | integer \| null | no |  |  | Pale përdar kado seed jekhe na-paruvde prompt-esa te pale kerelpe, obično, anglalno rezultato. |
| `model_type` |  | enum (string) | no | `standard` | `standard`, `lowpoly`, `smart-topology` | 3D mesh mode: le 'lowpoly' vaš low-poly rezultato optimizime vaš čišće polygons; ande kado mode Meshy ignorinel topology, target_polycount thaj should_remesh. Vaš standardno high-detail rezultato le 'standard', vaj le 'smart-topology' te përdar Meshy-T2 ande geometry (preview) phase thaj te kerel čišće partije separate katar o starto. |
| `topology` |  | enum (string) | no | `triangle` | `quad`, `triangle` | modelo topology choice maškar Triangle vaš geometric detail thaj Quad vaš surface smoothness. |
| `target_polycount` |  | integer | no | `30000` | 100 – 300,000 | Target e polygon-count-esko, limitime ko 15,000 kana model_type si 'smart-topology'. Kana na den kado target ande kodo mode, vaze Meshy's teleder standardno 4,000. |
| `should_remesh` |  | boolean | no | `true` |  | Skip remeshing thaj lel raw triangular mesh kana kado si false; averčhane aktivirisar remesh phase. |
| `symmetry_mode` |  | enum (string) | no | `auto` | `off`, `auto`, `on` | Symmetry setting aplikirime kana generirinelpe o modelo. |
| `enable_pbr` |  | boolean | no | `false` |  | Kontrolinel keripe e metallic, roughness thaj normal PBR mapsenge pašal base color. |
| `is_a_t_pose` |  | boolean | no | `false` |  | T-pose keripe switch aktivirime true-esa; deprecated thaj zamenime e pose_mode-esa. |
| `pose_mode` |  | enum (string) | no | `` | `a-pose`, `t-pose`, `` | Muk stringo khali te na specifikires pose e generirime modelosko, vaj mang A-pose 'a-pose' vaj T-pose 't-pose'. |
| `enable_prompt_expansion` |  | boolean | no | `false` |  | Mukhel jekh baro čhibako modelo te pheravel o prompto detalonca. O pheripe na paruverel promptosko arakhlo. |
| `texture_prompt` |  | string \| null | no |  | ≤ 600 characters | Diriguj texture keripe ekstra text prompt-esa ande 'full' mode; aver modes na përdaren les. |
| `texture_image_url` |  | string (image URL) \| null | no |  |  | 2D reference kipo vaš texture keripe, aplikirime numa ande 'full' mode. |
| `enable_rigging` |  | boolean | no | `false` |  | Automatic humanoid rigging, najfeder vaš humanoid modelo save si jasan distinguishime phuvenca. Aktivirime, rigginel o generirime modelo thaj del basic animations vaš walking thaj running. |
| `rigging_height_meters` |  | number | no | `1.7` | > 0 | Den andazime ungot e character-esko ande meters kana enable_rigging si true; averčhane kadi vrednost na kerel khanči. |
| `enable_animation` |  | boolean | no | `false` |  | Te lel o rigging-ime modelo preset animation, so mangel enable_rigging te avel true. |
| `animation_action_id` |  | integer | no | `92` |  | Meshy library animation preset ID, dostupne actions si listime ko https://docs.meshy.ai/en/api/animation-library. Validation thaj labaripen si relevantno numa kana enable_animation si true: vrednosti avri katar [0, 696] si reject-ime 422-esa, thaj "Idle" si `0`. |
| `enable_safety_checker` |  | boolean | no | `true` |  | Preprocessing safety-check switch: true kerel inputo safety check prerequisite vaš processing. |

File parameters (`texture_image_url`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## 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.com/v1/run/meshy/v6/text-to-3d?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.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.com/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/meshy/v6/text-to-3d?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.com/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/meshy/v6/text-to-3d", 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.com/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": "meshy/v6/text-to-3d",
      "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": "meshy/v6/text-to-3d",
  "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": 800,
    "usd": "0.80",
    "charged": 800,
    "refunded": 0
  },
  "input": {
    "prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "output": {
    "animation_glb": {
      "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
    },
    "animation_fbx": {
      "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
    },
    "model_glb": {
      "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
    },
    "thumbnail": {
      "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
    },
    "model_urls": {
      "glb": {
        "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
      },
      "fbx": {
        "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
      },
      "obj": {
        "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
      },
      "usdz": {
        "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
      },
      "blend": {
        "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
      },
      "stl": {
        "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
      }
    },
    "texture_urls": [
      {
        "base_color": {
          "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
        },
        "metallic": {
          "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
        },
        "normal": {
          "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
        },
        "roughness": {
          "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
        }
      }
    ],
    "seed": 42,
    "prompt": "A rustic, antique wooden treasure chest with a curved, domed lid, constructed from weathered, dark brown planks exhibiting prominent wood grain and subtle distress. It's heavily reinforced with broad, dark grey, oxidized metal bands secured by numerous circular rivets. Ornate, dark iron decorative elements featuring swirling foliate patterns and dragon motifs adorn the corners and lid. A prominent, circular, intricately carved metal lock plate with a central keyhole dominates the front, flanked by two large, dark metallic pull rings.",
    "actual_prompt": "string",
    "rigged_character_glb": {
      "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
    },
    "rigged_character_fbx": {
      "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
    },
    "basic_animations": {
      "walking_glb": {
        "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
      },
      "walking_fbx": {
        "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
      },
      "walking_armature_glb": {
        "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
      },
      "running_glb": {
        "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
      },
      "running_fbx": {
        "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
      },
      "running_armature_glb": {
        "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
      }
    },
    "rig_task_id": "string"
  },
  "outputs": [
    {
      "type": "file",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `animation_glb` | object {url, content_type, file_name, file_size} \| null | Animation rezultato savo si 3D modelo sar GLB; response na del les te na avel enable_animation true. |
| `animation_fbx` | object {url, content_type, file_name, file_size} \| null | Animation rezultato savo si 3D modelo sar FBX; response na del les te na avel enable_animation true. |
| `model_glb` | object {url, content_type, file_name, file_size} | GLB fajlo le kerde 3D objektosa. |
| `thumbnail` | object {url, content_type, file_name, file_size} \| null | Thumbnail savo sikavel jekh preview le kerde modelosko. |
| `model_urls` | object {glb, fbx, obj, usdz, blend, stl} | Linkura pala o 3D modelo ande buter formatura. |
| `texture_urls` | array of object {base_color, metallic, normal, roughness} | Texture fajlo reprezentirime sar array objektongi. |
| `seed` | integer \| null | Seed vrednost përdžardi andre keripe. |
| `prompt` | string | Text prompto deno vaš keripe. |
| `actual_prompt` | string \| null | Prompto savo čačes sas labjardo ko keripe kana e promptosko buxljaripe sas uključime. |
| `rigged_character_glb` | object {url, content_type, file_name, file_size} \| null | Rigging rezultato deno sar GLB character fajlo; na si response kana enable_rigging na si true. |
| `rigged_character_fbx` | object {url, content_type, file_name, file_size} \| null | Rigging rezultato deno sar FBX character fajlo; na si response kana enable_rigging na si true. |
| `basic_animations` | object {walking_glb, walking_fbx, walking_armature_glb, running_glb, running_fbx, running_armature_glb} \| null | Basic walk thaj run animations, inkludirime numa kana enable_rigging si true. |
| `rig_task_id` | string \| null | Identifier e rigging taskesko; inkludirime numa kana enable_rigging si true. |

## Related models

- [Meshy 6 · Image to 3D](https://doitong.com/developers/models/meshy/v6/image-to-3d.md) (`meshy/v6/image-to-3d`): from $0.80 / run
- [Meshy 6 Preview · Text to 3D](https://doitong.com/developers/models/meshy/v6-preview/text-to-3d.md) (`meshy/v6-preview/text-to-3d`): $0.80 / request
- [Meshy 7.1 Text to 3D](https://doitong.com/developers/models/meshy/v7.1/text-to-3d.md) (`meshy/v7.1/text-to-3d`): from $0.80 / run
- [Meshy V7 Text to 3D](https://doitong.com/developers/models/meshy/v7/text-to-3d.md) (`meshy/v7/text-to-3d`): from $0.80 / run
- [Hunyuan 3d](https://doitong.com/developers/models/hunyuan-3d/v3.1/rapid/text-to-3d.md) (`hunyuan-3d/v3.1/rapid/text-to-3d`): from $0.225 / request
- [Hunyuan 3D Pro Text to 3D](https://doitong.com/developers/models/hunyuan-3d/v3.1/pro/text-to-3d.md) (`hunyuan-3d/v3.1/pro/text-to-3d`): $0.375 / run
- [Hunyuan Motion \[0.46B\]](https://doitong.com/developers/models/hunyuan-motion/fast.md) (`hunyuan-motion/fast`): $0.06 / request
- [Hunyuan Motion \[1B\]](https://doitong.com/developers/models/hunyuan-motion.md) (`hunyuan-motion`): $0.08 / request

## Links

- HTML page: https://doitong.com/developers/models/meshy/v6/text-to-3d
- 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=meshy/v6/text-to-3d
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/meshy/v6/text-to-3d