DeepSeek-V4-Pro API in India
DeepSeek’s open flagship: a 1.6-trillion-parameter model under the plain MIT licence. Priced in Indian rupees for teams in India, on the same key as every other model.
DeepSeek-V4-Pro API pricing 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 ₹764.40 — 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 DeepSeek-V4-Pro
DeepSeek-V4-Pro is the largest model DeepSeek has released: 1.6 trillion parameters, 49 billion of them at work on each token, with weights open under the MIT licence — the most permissive terms you will find on a model this size. DeepSeek reports 80.6% on SWE-bench Verified and a Codeforces rating of 3206 in its top reasoning mode.
Much of the engineering went into making a million-token context affordable: DeepSeek says its new attention design cuts the compute per token to about a quarter of V3.2’s at that length. It has three modes — no thinking, think high and think max — and reads text only.
What is DeepSeek-V4-Pro good for?
- Coding agents working across large repositories.
- Analysing very long documents, up to a million tokens.
- Competitive programming and maths-heavy reasoning.
Where to be careful
- Text only: it cannot read images.
- DeepSeek says its newer V4.1-Flash now beats it, and no independent evaluator had reproduced the latest V4-Pro build’s scores at the time of writing.
Specs
deepseek-v4-proUsing DeepSeek-V4-Pro from India
Roar AI provides access to DeepSeek-V4-Pro 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 DeepSeek-V4-Pro 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="deepseek-v4-pro",
messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)Where is DeepSeek-V4-Pro processed?
Requests to DeepSeek-V4-Pro are processed in Singapore, outside India. The model directory says where each model is processed.
Questions
How much does DeepSeek-V4-Pro cost in India?
Input is ₹152.88 per 1M tokens; output is ₹305.76 per 1M tokens. For scale, 1,000 requests of about 3,000 tokens in and 1,000 out cost ₹764.40. 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 DeepSeek-V4-Pro open source?
Its weights are open under the MIT licence, so you could run it yourself. Through Roar AI you call it like any other model, with no servers to manage.
Try DeepSeek-V4-Pro
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.