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GPT-5.6 Luna API in India

The fast, low-cost GPT-5.6, for high-volume work. Priced in Indian rupees for teams in India, on the same key as every other model.

Input₹20.19per 1M tokens
Output₹121.13per 1M tokens
BillingOne bill, in INRwith every other model

GPT-5.6 Luna API pricing in India

Input₹20.19 per 1M tokens · $0.206
Output₹121.13 per 1M tokens · $1.236
Cached input₹2.02 per 1M tokens · $0.0206
Cache write₹25.24 per 1M tokens · $0.2575
Batch input₹10.09 per 1M tokens · $0.103
Batch output₹60.56 per 1M tokens · $0.618

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 ₹181.69 — 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.

About GPT-5.6 Luna

GPT-5.6 Luna is the cheapest tier of the GPT-5.6 family, built for what OpenAI calls cost-sensitive, high-volume workloads. It is quick — independent measurements put it at about 178 tokens a second — and it scored 82.5% on Terminal-Bench 2.1, strong for the bottom tier of a family.

GPT-6 Luna has since replaced it with similar ability and newer knowledge, so this one is for products already running on it.

What is GPT-5.6 Luna good for?

  • High-volume extraction and classification.
  • Light coding and command-line helper agents.
  • Products already built on GPT-5.6.

Where to be careful

  • Wordy: in one independent benchmark run it wrote about twice the median amount of output, and output is what you pay for.
  • Replaced by GPT-6 Luna, whose knowledge is three months newer.

Specs

Made byOpenAI
ReleasedJuly 2026
TypeChat
Context window1.05M tokens
Longest answer128K tokens
ReadsText, Images
Thinks before answeringYes, adjustable
WeightsClosed
Processed inGlobal
Model idgpt-5.6-luna

Using GPT-5.6 Luna from India

Roar AI provides access to GPT-5.6 Luna 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-5.6 Luna 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-5.6-luna",
    messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)

Where is GPT-5.6 Luna processed?

GPT-5.6 Luna is a frontier model, and requests are processed on international infrastructure, outside India. The model directory says where each model is processed.

Questions

How much does GPT-5.6 Luna cost in India?

Input is ₹20.19 per 1M tokens; output is ₹121.13 per 1M tokens. For scale, 1,000 requests of about 3,000 tokens in and 1,000 out cost ₹181.69. 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.

Is GPT-5.6 Luna open source?

No. OpenAI does not publish the weights, so it is only available through an API like this one.

Try GPT-5.6 Luna
on one key

Sign up, get a key and call it with the SDK you already use. Pay in your local currency, on one bill.