# text-embedding-3-large — API, pricing & specs via nRouter

> text-embedding-3-large is available through nRouter, the managed LLM gateway: one OpenAI-compatible API key, 0% token markup (exact provider list pricing), 0% platform fee, built-in guardrails, and per-request cost tracking.

## What it is

OpenAI text embedding model producing 3,072-dimensional vector representations across an 8,192-token context window. It scores 64.6 on MTEB and 54.9 on MIRACL for search, clustering, and retrieval systems.

Source: https://platform.openai.com/docs/models/text-embedding-3-large.md

## Facts

- Maker: OpenAI
- Released: 2024-01-25
- Served on: OpenAI

## nRouter list pricing (exact provider rates, 0% markup)

- Input: $0.13 per 1M tokens

Settled at the exact provider list price above. nRouter adds no per-token markup and charges a 0% platform fee (see https://nrouter.ai/pricing).

## Use it

```python
from openai import OpenAI

client = OpenAI(
    base_url="https://api.nrouter.ai/v1",
    api_key="sk-nrouter-YOUR_KEY",  # create one at https://nrouter.ai/signup
)

response = client.embeddings.create(
    model="openai/text-embedding-3-large",
    input="Your text to embed",
)
```

Model page: https://nrouter.ai/models/text-embedding-3-large
Full nRouter index for AI engines: https://nrouter.ai/llms.txt
Docs: https://nrouter.ai/docs