Multilingual E5 Large Instruct by Microsoft: instruction-tuned embedding model with 1024 dimensions for multilingual semantic retrieval across 100 languages.
Multilingual E5 Large Instruct runs on 2 different routes through the qynio gateway. Compare residency, zero retention, and training posture at a glance — full data-handling detail per route below.
One of Multilingual E5 Large Instruct's 2 routes is on the monitoring board, so the figure below is that provider's availability rather than the model's.
Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. .
Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. 1 further route is not on the board yet. See uptime for every provider qynio monitors.
Each route hosting Multilingual E5 Large Instruct has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. EU; deposit available.
Zero data retention is on by default on Pay-as-you-go — no action required. No training on customer data. EU; deposit available.
Call Multilingual E5 Large Instruct through the qynio gateway with one API key. Let your coding agent set it up, or call it directly — qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.QYN_API_KEY,baseURL: "https://api.qyn.io/v3/compat",});const completion = await client.chat.completions.create({model: "berget/intfloat/multilingual-e5-large-instruct",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
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