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Intfloat: Multilingual-E5-Large: AI model

Multilingual-E5-Large is a text-embedding model that turns multilingual text (around 90 languages) into 1024-dimensional dense vectors. For semantic search, RAG and clustering, reachable from inside Iran through Hormouz.

Context window:
512 tokens
Input:
$0.01/1M tokens
Output:
$0/1M tokens
Type:
embedding
  • Embeddings

The multilingual-e5-large model encodes text across roughly 90 languages into a 1024-dimensional dense vector, making it a good fit for cross-language retrieval and semantic search. Including Persian. Where queries and documents may be in different languages. It produces 1024-dimensional dense embedding vectors well suited to retrieval, semantic search, clustering and ranking.

The model handles up to 8192 tokens of input per request. Through Hormouz it is served behind an OpenAI-compatible embeddings API. Point your base URL at Hormouz, drop in a Hormouz key and send requests to /embeddings. Pricing is usage-based at $0.01 per million input tokens.

Hormouz provides stable access to the model from inside Iran, with no foreign credit card or circumvention tooling required.

The multilingual-e5-large embedding model encodes sentences, paragraphs, and documents across over 90 languages into a 1024-dimensional dense vector space, delivering robust semantic embeddings optimized for multilingual retrieval, cross-language similarity, and...

Quickstart

curl https://api.hormouz.net/v1/embeddings \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"intfloat/multilingual-e5-large","input":"The quick brown fox"}'

Specs

VendorIntfloat
TypeEmbedding
Context window512 tokens
Pricing$0.01/M in · $0.00/M out
APIembeddings

Code example

cURL
curl https://api.hormouz.net/v1/embeddings \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"intfloat/multilingual-e5-large","input":"The quick brown fox"}'
Python
from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
resp = client.embeddings.create(model="intfloat/multilingual-e5-large", input="The quick brown fox")
print(resp.data[0].embedding)
JavaScript
import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const resp = await client.embeddings.create({
  model: "intfloat/multilingual-e5-large",
  input: "The quick brown fox",
});
console.log(resp.data[0].embedding);

Buy the Intfloat: Multilingual-E5-Large API, paid in rial

  • Buy credit with an Iranian bank card; no foreign card or account needed.
  • One Hormouz key reaches Intfloat: Multilingual-E5-Large and 600+ other models, and you pay only for what you use.
  • No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
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FAQ

What is Multilingual-E5-Large and what is it good for?
Multilingual-E5-Large is a text-embedding model that turns text into 1024-dimensional dense vectors. Common uses are semantic search, retrieval for RAG, clustering and similarity scoring.
What are the embedding dimension and maximum input length of Multilingual-E5-Large?
Each output vector has 1024 dimensions, and the model accepts up to 8192 tokens of input per request.
How do I call Multilingual-E5-Large through Hormouz?
Send your input text to the /embeddings endpoint with the model id "intfloat/multilingual-e5-large". Because the API is OpenAI-compatible, just point the base URL at Hormouz and swap in your Hormouz key. The same OpenAI embeddings client code works unchanged.
How much does Multilingual-E5-Large cost?
Pricing is usage-based at $0.01 per million input tokens. There is no fixed monthly fee. You pay only for what you use.
How do I access Multilingual-E5-Large from inside Iran?
Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card required.

Updated 2026-10-13