Qwen 3.8 27B on our own server in Colombo: your data is processed in Sri Lanka and nowhere else. Priced in Indian rupees for teams in India, on the same key as every other model.
In Indian rupees, the currency your card is charged in, with the published US dollar rate beside each.
For scale: 1,000 requests of about 3,000 tokens in and 1,000 out cost ₹235.20 — 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.
Prices are our published US dollar rates converted at ₹98.00 to the dollar, our rate for October — the same rate your card is charged.
This is Qwen 3.8 27B — Alibaba’s compact open model, strong at coding and documents for its size — running on our own GPU server in Colombo. Prompts and answers are processed in Sri Lanka and never leave it: there is no fallback to a server abroad, by design.
We run it with a 131K-token context and low reasoning effort by default. On 250 MMLU-Pro questions through this server, that setting scored 84.0% — higher than the model’s own default, using a third of the tokens. A single request streams at about 73 tokens a second, and it supports tool calling.
qwen3.8-27b-lkRoar AI provides access to Qwen 3.8 27B (Colombo) through the Roar AI gateway, charged in Indian rupees on one bill with every other model. Requests from India go through our gateway in Bangalore. Developers can use Qwen 3.8 27B (Colombo) alongside other supported models without a separate integration for every provider.
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-lk",
messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)Qwen 3.8 27B (Colombo) runs on our own server in Colombo, Sri Lanka, and only there. The model directory says where each model is processed.
Input is ₹29.40 per 1M tokens; output is ₹147.00 per 1M tokens. For scale, 1,000 requests of about 3,000 tokens in and 1,000 out cost ₹235.20. Prices are our published US dollar rates converted at ₹98.00 to the dollar, our rate for October — the same rate your card is charged. The rate is published and does not change from one request to the next.
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.
Sign up, get a key and call it with the SDK you already use. Pay in your local currency, on one bill.