> ## Documentation Index
> Fetch the complete documentation index at: https://docs.aireserve.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Text Embedding 3 Large

> Text Embedding 3 Large on the AI Reserve gateway — model id, aliases, pricing, limits and a copy-paste request.

**Embeddings** · OpenAI

## Call it

Endpoint: `POST /v1/embeddings` — set `model` to `text-embedding-3-large`.

```bash cURL theme={"dark"}
curl https://api.aireserve.com/v1/embeddings \
  -H "Authorization: Bearer $AIRESERVE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "text-embedding-3-large", "input": "The quick brown fox"}'
```

```python Python theme={"dark"}
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.aireserve.com/v1",
    api_key=os.environ["AIRESERVE_API_KEY"],
)

res = client.embeddings.create(
    model="text-embedding-3-large",
    input="The quick brown fox",
)
print(len(res.data[0].embedding))
```

```typescript TypeScript theme={"dark"}
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.aireserve.com/v1",
  apiKey: process.env.AIRESERVE_API_KEY,
});

const res = await client.embeddings.create({
  model: "text-embedding-3-large",
  input: "The quick brown fox",
});
console.log(res.data[0].embedding.length);
```

Full request and response reference: [API reference](/api-reference).

## IDs & aliases

| Send as `model` | What it is |
| - | - |
| `text-embedding-3-large` | Canonical gateway id |

## Specs

| Spec | Detail |
| - | - |
| Modality | Embedding — Embeddings |
| Model maker | OpenAI |
| Served by | OpenAI |
| Pricing | — |
| Hosting | United States |

Prices are public list rates at generation time and may lag the provider card; `GET /v1/models` and the portal's pricing page are authoritative for billing.

> **[Browse all models](/models)**
>
> Search and filter every model by modality, maker, capability and price.


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