Qwen3.8-27B
Alibaba’s small dense Qwen: open, multimodal and unusually strong at coding for 27 billion parameters.
About Qwen3.8-27B
Qwen3.8-27B is the compact member of Alibaba’s Qwen3.8 generation — 27 billion parameters, dense, open under Apache 2.0 — and it punches well above its size. Alibaba reports 61.7% on SWE-bench Pro, above its own figure for Claude Opus 4.6, plus 89.2% on GPQA Diamond and 84.3% on the OSWorld computer-use test.
It reads images and video as well as text, holds 262K tokens natively, and thinks by default with adjustable effort. Its design mixes fast linear-attention layers with full attention, which keeps long inputs cheap to process.
Where it’s strong
Coding agents at a low price.
Operating desktop software.
Reading documents, images and video.
Where to be careful
Every headline score is Alibaba’s own.
Stretching it to a million tokens can hurt quality on shorter texts.
Price
For scale: 1,000 requests of about 3,000 tokens in and 1,000 out cost $4.09 — a long prompt and a page of answer each. Every rate is published and stays the same from one request to the next. See every model.
Specs
qwen3.8-27bCall it
Use the OpenAI SDK you already have — point it at Roar AI and name the model. Read the docs.
from openai import OpenAI
client = OpenAI(base_url="https://api.roar-ai.com/v1", api_key="roar_live_…")
reply = client.chat.completions.create(
model="qwen3.8-27b",
messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)Compare Qwen3.8-27B
Questions
How much does Qwen3.8-27B cost?
Input is $0.455 per 1M tokens; output is $2.73 per 1M tokens. For scale, 1,000 requests of about 3,000 tokens in and 1,000 out cost $4.09. The rate is published and does not change from one request to the next.
Can I use Qwen3.8-27B alongside other models?
Yes. Every model on Roar AI is on the same API key and the same monthly invoice, so switching from Qwen3.8-27B to another model is a change to one word in your code.
Is Qwen3.8-27B open source?
Its weights are open under the Apache 2.0 licence, so you could run it yourself. Through Roar AI you call it like any other model, with no servers to manage.