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Google · Chat

Gemini 3.1 Pro

Google’s Pro model: reads video, audio, images and PDFs in one million-token window.

Input$2.30per 1M tokens
Output$13.80per 1M tokens
BillingOne monthly invoiceevery model on one key
Request early accessSee every model’s rate

About Gemini 3.1 Pro

Gemini 3.1 Pro takes more kinds of input than any other model here: text, images, audio, video and PDFs, in a context of about a million tokens. Hand it an hour of meeting recording or a long scanned report and ask questions across all of it. It is a strong reasoner too — 77.1% on ARC-AGI-2 at launch, more than double Gemini 3 Pro — and scored 80.6% on SWE-Bench Verified.

Google still labels it a preview, eight months on, which means it can change under you. Its knowledge stops in January 2025, the oldest of the frontier models here, and the newer Gemini Flash releases now beat it on some agent tests.

Where it’s strong

Questions across video, audio and long PDFs at once.

Abstract reasoning and science problems.

Understanding a large codebase in one pass.

Where to be careful

Still a preview model, and Google warns it may change.

Its knowledge stops at January 2025.

Answers are capped at about 65K tokens, half what Claude and GPT-6 can write.

Price

Input$2.30 per 1M tokens
Output$13.80 per 1M tokens
Cached input$0.23 per 1M tokens
Batch input$1.15 per 1M tokens
Batch output$6.90 per 1M tokens

For scale: 1,000 requests of about 3,000 tokens in and 1,000 out cost $20.70 — 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

Made byGoogle
ReleasedFebruary 2026
TypeChat
Context window1.05M tokens
Longest answer66K tokens
ReadsText, Images, Audio, Video, PDFs
Thinks before answeringAlways on
WeightsClosed
Model idgemini-3.1-pro

Call 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="gemini-3.1-pro",
    messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)

Questions

How much does Gemini 3.1 Pro cost?

Input is $2.30 per 1M tokens; output is $13.80 per 1M tokens. For scale, 1,000 requests of about 3,000 tokens in and 1,000 out cost $20.70. The rate is published and does not change from one request to the next.

Can I use Gemini 3.1 Pro alongside other models?

Yes. Every model on Roar AI is on the same API key and the same monthly invoice, so switching from Gemini 3.1 Pro to another model is a change to one word in your code.

Is Gemini 3.1 Pro open source?

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