Text Embedding 3 Large is OpenAI's embedding model for multilingual search, clustering, and classification tasks, released 2025-10. It produces dense vector representations that measure semantic relatedness between texts in English and non-English languages.
Modalities
inTextoutVector
Price / 1M
$0.03 / $0.00
Context
8K
Knowledge cutoff
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Capabilities
Structured output
Channels
Same weights on every channel. Requests route to the cheapest healthy one; the channel used is printed on each billing line.
Provider
Discount
Input /M
Output /M
Cache Read /M
Cache Create 5m /M
Cache Create 1h /M
Codexcheap
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$0.03
$0.00
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Defaultstable
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$0.06
$0.00
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Quick Start
import os from openai import OpenAI client = OpenAI( base_url="https://api.mirapi.ai/v1", # changed api_key=os.environ["MIRAPI_API_KEY"], # changed ) resp = client.chat.completions.create( model="openai/text-embedding-3-large", messages=[{"role": "user", "content": "Hello"}], )
import OpenAI from "openai"; const client = new OpenAI({ baseURL: "https://api.mirapi.ai/v1", // changed apiKey: process.env.MIRAPI_API_KEY, // changed }); const res = await client.chat.completions.create({ model: "openai/text-embedding-3-large", messages: [{ role: "user", content: "Hello" }], });
curl https://api.mirapi.ai/v1/chat/completions \ -H "Authorization: Bearer $MIRAPI_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "openai/text-embedding-3-large", "messages": [{"role": "user", "content": "Hello"}] }'
Links
Wire Text Embedding 3 Large into your product
Start free1M free tokens to start · no card · OpenAI-compatible, one base_url change