gpt-oss-20b API in India

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 ₹58.60 — 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-20b is the smaller of OpenAI’s two open-weight models. It runs in 16GB of memory — small enough for a high-end laptop — and OpenAI says it performs similarly to o3-mini on common benchmarks, with 71.5% on GPQA Diamond.

It has the same reasoning levels and tool use as the 120b at a fraction of the size. Through an API its appeal is speed and price on simple reasoning steps; for anything hard, the 120b is clearly stronger.

• Quick reasoning steps inside an agent.
• Simple classification and extraction that needs a little thought.
• Prototyping on a budget.

• Clearly weaker than gpt-oss-120b on hard reasoning — 71.5% against 80.1% on GPQA Diamond.
• Its knowledge stops at June 2024, and it reads text only.

Roar AI provides access to gpt-oss-20b 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-20b 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-20b",
    messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)

Requests to gpt-oss-20b are processed on international infrastructure, outside India. The model directory says where each model is processed.

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