RealRelay.ai
Qwen

Qwen-MT-Flash

Qwen translation model for website and app content, product descriptions, daily communication and blog posts.

Starting at
Input
$0.16/ 1M
Output
$0.49/ 1M
Open dashboard

Channel

Each channel is compared at its lowest input-price tier; output breaks ties. A dash means /api/pricing does not provide that rate. Selecting a channel updates the endpoints and call example below.

qwen/qwen-mt-flash
Input
$0.16 USD per 1M tokens
Output
$0.49 USD per 1M tokens
Cache read
- USD per 1M tokens
Cache write
- USD per 1M tokens

Endpoints

POST/v1/chat/completionsChat Completions

Call it

Using qwen/qwen-mt-flash

1from openai import OpenAI23client = OpenAI(4    base_url="https://www.realrelay.ai/v1",5    api_key="sk-***",6)78response = client.chat.completions.create(9    model="qwen/qwen-mt-flash",10    messages=[{"role": "user", "content": "Hello"}],11)1213print(response.choices[0].message.content)
1import OpenAI from "openai";23const client = new OpenAI({4  baseURL: "https://www.realrelay.ai/v1",5  apiKey: process.env.REALRELAY_API_KEY,6});78const response = await client.chat.completions.create({9  model: "qwen/qwen-mt-flash",10  messages: [{ role: "user", content: "Hello" }],11});1213console.log(response.choices[0].message.content);
1curl https://www.realrelay.ai/v1/chat/completions \2  -H "Authorization: Bearer $REALRELAY_API_KEY" \3  -H "Content-Type: application/json" \4  -d '{5    "model": "qwen/qwen-mt-flash",6    "messages": [{ "role": "user", "content": "Hello" }]7  }'

Prices and availability as published on Oct 12, 2026.

Capabilities

Qwen-MT-Flash accepts text and returns translated text. It belongs to the translation group of Alibaba Cloud's Qwen models and is documented for everyday content rather than specialist material.

Its 16K-token context window is enough for page sections, product descriptions and blog posts in a single request.

Input
Text
Output
Text

Overview

Qwen-MT-Flash is a machine translation model from Alibaba Cloud's Qwen family. It takes text in one language and returns the translation as text. Alibaba Cloud describes it as suitable for website and app content, product descriptions, daily communication and blog posts. It has a 16K-token context window and is priced at $0.16 per 1M input tokens.

Qwen-MT-Flash has a 16K-token context window. It accepts text input and returns text.

Pricing

Qwen-MT-Flash is priced per 1M tokens at $0.16 for input and $0.49 for output.

Qwen-MT-Flash is available through RealRelay's OpenAI-compatible API.

Use cases

Use Qwen-MT-Flash to translate website and app copy, product descriptions and blog posts so that pages and listings can be published in more languages.

It also fits daily communication, such as translating messages and short exchanges, through a text-in, text-out call that drops easily into a content pipeline.

Frequently asked questions

What is Qwen-MT-Flash?
Qwen-MT-Flash is a machine translation model from Alibaba Cloud's Qwen family. It takes text in one language and returns the translation as text.
How much does Qwen-MT-Flash cost?
Qwen-MT-Flash costs $0.16 per 1M input tokens and $0.49 per 1M output tokens.
What is the context window of Qwen-MT-Flash?
Qwen-MT-Flash has a 16K-token context window.
What inputs and outputs does Qwen-MT-Flash support?
Qwen-MT-Flash accepts text input and returns text.
What is Qwen-MT-Flash used for?
Qwen-MT-Flash is used to translate website and app content, product descriptions, daily communication and blog posts.
How do I call Qwen-MT-Flash through the API?
Send requests to RealRelay's OpenAI-compatible API with the model ID qwen/qwen-mt-flash.

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