DeepSeek-V4-Pro
DeepSeek’s open flagship: a 1.6-trillion-parameter model under the plain MIT licence.
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.
Where it’s strong
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.
Price
For scale: 1,000 requests of about 3,000 tokens in and 1,000 out cost $7.80 — 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.
Specs
deepseek-v4-proCall it
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."}],
)Compare DeepSeek-V4-Pro
Questions
How much does DeepSeek-V4-Pro cost?
Input is $1.56 per 1M tokens; output is $3.12 per 1M tokens. For scale, 1,000 requests of about 3,000 tokens in and 1,000 out cost $7.80. The rate is published and does not change from one request to the next.
Can I use DeepSeek-V4-Pro alongside other models?
Yes. Every model on Roar AI is on the same API key and the same monthly invoice, so switching from DeepSeek-V4-Pro to another model is a change to one word in your code.
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.