Qwen3.8-27B

by DOS.AI

DOS.AI hosted Qwen3.8-27B for reasoning, coding, tool use, and multilingual text generation.

Parameters
27B Dense
Context Length
262K
Category
chat
Available Serverless

Run queries immediately, pay only for usage

$0.07in|$0.50out

Per 1M tokens

Try this modelView documentation

About this model

Qwen3.8-27B is a dense reasoning and coding model served by DOS.AI on its own GPU infrastructure in Singapore. It supports multilingual prompts, tool calling, code generation, structured output, and streaming. Current input and output rates are shown from the live catalog.

Capabilities

Advanced reasoningMultilingualTool callingCode generationStructured outputStreaming

Use Cases

  • AI agents
  • Customer support
  • Content generation
  • Code assistance

Providers

One model, several sources. DOS routes to the first that answers and falls back automatically, or you can pin a provider per request.

ProviderInput /1MOutput /1MContextServed from
DOS.AIAvailablenvfp4
$0.07$0.50262KVN

Model Details

Provider
DOS.AI
Model ID
qwen3.8-27b
Parameters
27B Dense
Context Length
262K tokens
Category
chat

API Usage

Use the DOS API to integrate Qwen3.8-27B into your applications. Our API is compatible with OpenAI's client libraries for easy migration.

Model ID

qwen3.8-27b

Python

python
from dos import DOS

client = DOS()

response = client.chat.completions.create(
    model="qwen3.8-27b",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ]
)

print(response.choices[0].message.content)

cURL

bash
curl https://api.dos.ai/v1/chat/completions \
  -H "Authorization: Bearer $DOS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.8-27b",
    "messages": [
      {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Node.js

javascript
import DOS from 'dos-ai';

const client = new DOS();

const response = await client.chat.completions.create({
  model: "qwen3.8-27b",
  messages: [
    { role: "user", content: "Hello, how are you?" }
  ]
});

console.log(response.choices[0].message.content);