Qwen

qwen3.8-27b

Name: qwen3.8-27b
Author: Qwen

Qwen3.8 27B is an open-weight dense vision-language model from Qwen. It is suited for coding, professional workflows, research, multimodal interaction, and long-running agent tasks, with flexible thin

Starting at

Input

$0.50/ 1M

Output

$3.00/ 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.

ChannelUSD per 1M tokensInputOutputCache readCache write

qwen/qwen3.8-27b

Input

$0.50

Output

$3.00

Cache read

$0.10

Cache write

$0.625

Endpoints

POST/v1/chat/completionsChat Completions

Call it

Using qwen/qwen3.8-27b

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/qwen3.8-27b",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/qwen3.8-27b",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/qwen3.8-27b",6    "messages": [{ "role": "user", "content": "Hello" }]7  }'

Prices and availability as published on Oct 4, 2026.

Capabilities

ReasoningStructured outputTool useVision

Input

TextImageVideo

Output

Text