OpenAI’s larger open-weight model: o4-mini-class reasoning you could also run yourself. 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 ₹133.77 — 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.
gpt-oss-120b was OpenAI’s first open-weight language model since GPT-2, released in August 2025 under Apache 2.0. OpenAI says it comes close to o4-mini on core reasoning tests and beats it on competition maths and health questions, and it scores 80.1% on GPQA Diamond. It was built to fit on a single 80GB GPU.
It reasons at low, medium or high effort and shows its full chain of thought. Its small active size makes it inexpensive to run, which makes it a sensible choice for maths, logic and structured tasks at volume.
gpt-oss-120bRoar AI provides access to gpt-oss-120b 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 gpt-oss-120b 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="gpt-oss-120b",
messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)Requests to gpt-oss-120b are processed on international infrastructure, outside India. The model directory says where each model is processed.
Input is ₹19.11 per 1M tokens; output is ₹76.44 per 1M tokens. For scale, 1,000 requests of about 3,000 tokens in and 1,000 out cost ₹133.77. 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.