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GPT-5.3-Codex API in India

OpenAI’s coding specialist from early 2026, made for agents that work in a terminal. Priced in Indian rupees for teams in India, on the same key as every other model.

Input₹176.65per 1M tokens
Output₹1,413.16per 1M tokens
BillingOne bill, in INRwith every other model

GPT-5.3-Codex API pricing in India

Input₹176.65 per 1M tokens · $1.8025
Output₹1,413.16 per 1M tokens · $14.42
Cached input₹17.66 per 1M tokens · $0.1802

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 ₹1,943.10 — 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-5.3-Codex

GPT-5.3-Codex was OpenAI’s dedicated model for Codex, its coding agent. It combined the coding of the earlier Codex model with the reasoning of GPT-5.2, and at launch scored 77.3% on Terminal-Bench 2.0 and 56.8% on SWE-Bench Pro. OpenAI says engineers used early versions of it to help debug its own training.

It always reasons, from low to extra-high effort. The general GPT-6 models have since caught up and passed it on coding, so it makes most sense where a workflow was built around it.

What is GPT-5.3-Codex good for?

  • Coding agents that work in a terminal.
  • Large refactors that touch many files.
  • Workflows already built around Codex.

Where to be careful

  • A generation behind GPT-6 on agentic coding.
  • Its knowledge stops at August 2025, and its 400K context is smaller than current flagships’.

Specs

Made byOpenAI
ReleasedFebruary 2026
TypeChat
Context window400K tokens
Longest answer128K tokens
ReadsText, Images
Thinks before answeringAlways on
WeightsClosed
Processed inGlobal
Model idgpt-5.3-codex

Using GPT-5.3-Codex from India

Roar AI provides access to GPT-5.3-Codex 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-5.3-Codex 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-5.3-codex",
    messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)

Where is GPT-5.3-Codex processed?

GPT-5.3-Codex 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-5.3-Codex cost in India?

Input is ₹176.65 per 1M tokens; output is ₹1,413.16 per 1M tokens. For scale, 1,000 requests of about 3,000 tokens in and 1,000 out cost ₹1,943.10. 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-5.3-Codex open source?

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

Try GPT-5.3-Codex
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.