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Qwen3.8 27B

The default chat model, for general chat, tools and JSON output with 150,000 tokens of context.

qwen3.8-27b

Capabilities

Context length
150,000 tokens
Parallel requests
64 per account (max_parallel)
Thinking
On by default; off with chat_template_kwargs.enable_thinking: false
Tools and JSON output
tools, tool_choice, response_format
Weights
4-bit
Input and output
Text only

Request

curl

curl https://api.albastov.com/v1/chat/completions \
  -H "Authorization: Bearer $ALBASTOV_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3.8-27b",
    "max_tokens": 200,
    "messages": [{"role": "user", "content": "Summarise the rules of chess in three sentences."}],
    "chat_template_kwargs": {"enable_thinking": false}
  }'

Python

import os
from openai import OpenAI

client = OpenAI(base_url="https://api.albastov.com/v1", api_key=os.environ["ALBASTOV_API_KEY"])
reply = client.chat.completions.create(
    model="qwen3.8-27b",
    max_tokens=200,
    messages=[{"role": "user", "content": "Summarise the rules of chess in three sentences."}],
    extra_body={"chat_template_kwargs": {"enable_thinking": False}},
)
print(reply.choices[0].message.content)

JavaScript

const res = await fetch("https://api.albastov.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.ALBASTOV_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "qwen3.8-27b",
    max_tokens: 200,
    messages: [{ role: "user", content: "Summarise the rules of chess in three sentences." }],
    chat_template_kwargs: { enable_thinking: false },
  }),
});
if (!res.ok) throw new Error(`${res.status} ${await res.text()}`);
const reply = await res.json();
console.log(reply.choices[0].message.content);

Every parameter, response header and error: Chat completions reference.