Qwen3.8-Flash

Qwen3.8-Flash is Alibaba’s volume model — 125 billion parameters with only 6 billion active per token, which is what makes it cheap and quick. It previews the design planned for Qwen4, and Alibaba says it cost about a ninth as much to train as Qwen3.7-Plus while beating it. Alibaba reports 62.5% on SWE-bench Pro and 84.5% on AndroidWorld, a phone-automation test.

It reads images and video, holds a million tokens, and thinks by default with adjustable effort. Reviewers’ main complaint is length: it writes far more than most models, which eats into its price advantage.

For scale: 1,000 requests of about 3,000 tokens in and 1,000 out cost $1.02 — 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.

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-flash",
    messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)