Text embedding model

Text Embedding 3 Large API

OpenAI most capable text embeddings, multilingual, with a vector length you choose.

Text Embedding 3 Large is a text embedding model from OpenAI, available on OttoPort's OpenAI-compatible API as the model ID text-embedding-3-large at $0.144 per 1M input tokens as of 2026-10-14.

Provider

OpenAI

Price

$0.144 per 1M input tokens

Model ID

text-embedding-3-large

Type

text embedding model

Semantic searchRetrieval (RAG)Clustering and dedup

Pricing

Text Embedding 3 Large API pricing

What OttoPort bills for Text Embedding 3 Large, and what that works out to per unit. Rates are read from the same catalog the gateway meters against, and were current on 2026-10-14.

Per 1M tokens	$0.144	input text; the vectors are not billed
10,000 passages	$0.72	of about 500 tokens each, embedded once
Tokens per $1	6,944,444

No subscription and no minimum — OttoPort bills prepaid credits against usage. See the full rate card.

Quickstart

Call Text Embedding 3 Large in three lines

Send "model": "text-embedding-3-large" to POST https://ottoport.ai/api/v1/embeddings with an OttoPort key. No OpenAI account, no waitlist, no separate SDK.

curl https://ottoport.ai/api/v1/embeddings \
  -H "Authorization: Bearer $OTTOPORT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "text-embedding-3-large",
    "input": ["How do refunds work?", "Refunds are issued within 5 days."],
    "dimensions": 1024
  }'

from openai import OpenAI

client = OpenAI(
    api_key="op-...",              # your OttoPort key
    base_url="https://ottoport.ai/api/v1",            # the only line that changes
)

resp = client.embeddings.create(
    model="text-embedding-3-large",
    input=["How do refunds work?", "Refunds are issued within 5 days."],
    dimensions=1024,
)
vectors = [item.embedding for item in resp.data]

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "op-...",               // your OttoPort key
  baseURL: "https://ottoport.ai/api/v1",             // the only line that changes
});

const resp = await client.embeddings.create({
  model: "text-embedding-3-large",
  input: ["How do refunds work?", "Refunds are issued within 5 days."],
  dimensions: 1024,
});
const vectors = resp.data.map((item) => item.embedding);

Before you start

1. Create a key at /api-keys.
2. Top up credits — the smallest pack is $25.
3. Paste the request. It returns on the same request.

Full reference at /docs, or drive it from an agent with the MCP server and CLI.

Reference

Request parameters

The body POST https://ottoport.ai/api/v1/embeddings accepts for Text Embedding 3 Large.

Field	Type	Required	Notes
model	string	Yes	Always text-embedding-3-large for Text Embedding 3 Large.
input	string \| array	Yes	One text, or an array of up to 256, each non-empty; 600,000 characters in all. One vector comes back per text, in order. Input tokens are the billed unit.
dimensions	integer	No	Vector length, up to 3072; default 3072. Shorter vectors are cheaper to store and search.
encoding_format	string	No	`float` (default) or `base64`, little-endian float32.

Comparison

Text Embedding 3 Large direct vs through OttoPort

Text Embedding 3 Large is the same model either way — what changes is how many accounts, keys, and integrations you carry to reach it.

	OpenAI direct	Via OttoPort
Accounts and keys	An OpenAI account, plus one more for every other model you add	One OttoPort account and one key for the whole catalog
Request shape	OpenAI's own SDK and response format	OpenAI-compatible — point baseURL at OttoPort and change the model string
Switching models	A new integration per provider	Replace text-embedding-3-large with any other model ID in the catalog
Billing	A separate invoice and contract per provider	Prepaid credits, no subscription, one usage ledger
Provider outages	Your call fails	Configured backup routes are tried in order on provider failure

Embed queries and documents with the same model.

Batch up to 256 texts in one request.

Pick `dimensions` once and keep it.

FAQ

Text Embedding 3 Large API questions

Cost, keys, and model IDs for Text Embedding 3 Large on OttoPort.

How much does the Text Embedding 3 Large API cost?

On OttoPort, Text Embedding 3 Large costs $0.144 per 1M input tokens as of 2026-10-14. For scale, 10,000 passages: $0.72. Billing is prepaid usage with no subscription and no minimum, and the current rate is always published at ottoport.ai/pricing.

How do I get a Text Embedding 3 Large API key?

You do not need an OpenAI key. Create an OttoPort account, generate a key at ottoport.ai/api-keys, and send it as "Authorization: Bearer <key>" to POST https://ottoport.ai/api/v1/embeddings with "model": "text-embedding-3-large". The same key reaches every other model in the catalog.

What is the model ID for Text Embedding 3 Large?

The OttoPort model ID for Text Embedding 3 Large is text-embedding-3-large. Pass it as the model field on POST https://ottoport.ai/api/v1/embeddings, or list it programmatically from GET https://ottoport.ai/api/v1/models.

Can I call Text Embedding 3 Large with the OpenAI SDK?

Yes. Set the OpenAI SDK's base URL to https://ottoport.ai/api/v1, use an OttoPort API key, and pass text-embedding-3-large as the model. Embeddings follow the OpenAI embeddings shape, so existing code works after changing two lines.

How many dimensions does Text Embedding 3 Large return?

3,072 by default. Send dimensions to get a shorter vector, up to 3,072; it is billed the same, by input tokens. Embed every text you compare with the same model and the same dimensions.

Do I need an OpenAI account to use Text Embedding 3 Large?

No. OttoPort connects to OpenAI on your behalf, so one OttoPort account covers Text Embedding 3 Large and every other model in the catalog — no per-provider contracts, keys, or invoices.

Alternatives

Other text embedding models on the same API

Same endpoint, same key — swapping model is a one-string change from text-embedding-3-large.

Voyage 4 API

Voyage AI

$0.066 per 1M input tokens

Voyage 4 Lite API

Voyage AI

$0.022 per 1M input tokens

Qwen3 Embedding 8B API

Qwen

$0.011 per 1M input tokens

BGE-M3 API

BAAI

$0.011 per 1M input tokens

Text Embedding 3 Small API

OpenAI

$0.022 per 1M input tokens

Browse the full catalog — every model with its provider and per-unit price.