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Model profile

Google: Gemini 3.1 Pro Preview

google chat
google/gemini-3.1-pro-preview

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation...

At a glance

Model specifications

The most important technical and pricing details in one place.

Context window
1M tokens
Model type
Chat
Input / 1M
$2.00
Output / 1M
$12.00

Providers and routing order

Gateway-compatible routes are tried from the lowest cost; other sources are shown for catalog reference.

2 sources
1
OpenRouterGateway activegoogle/gemini-3.1-pro-preview · Updated 05.10.2026 19:17
Input$2.0000 / 1M Output$12.0000 / 1M Cache$0.2000 / 1M Media-
2
GoogleCatalog sourcegemini-3.1-pro-preview · Updated 05.10.2026 19:17
Input$2.0000 / 1M Output$12.0000 / 1M Cache$0.2000 / 1M Media-
Live telemetry

Usage and performance

Current request, token, and latency data across TamgaStudio.

Usage Example

Call Google: Gemini 3.1 Pro Preview with a single request through the OpenAI-compatible TamgaStudio API. Create your API key from the API Keys section in your dashboard.

curl https://api.tamga.studio/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer tl-sk-XXXXXX" \
  -d '{"model": "google/gemini-3.1-pro-preview", "messages": [{"role": "user", "content": "Hello!"}]}'
import requests

resp = requests.post(
    "https://api.tamga.studio/v1/chat/completions",
    headers={"Authorization": "Bearer tl-sk-XXXXXX"},
    json={
        "model": "google/gemini-3.1-pro-preview",
        "messages": [{"role": "user", "content": "Hello!"}],
    },
)
print(resp.json()["choices"][0]["message"]["content"])
<?php
$ch = curl_init('https://api.tamga.studio/v1/chat/completions');
curl_setopt_array($ch, [
    CURLOPT_POST => true,
    CURLOPT_HTTPHEADER => [
        'Authorization: Bearer tl-sk-XXXXXX',
        'Content-Type: application/json',
    ],
    CURLOPT_POSTFIELDS => json_encode([
        'model' => 'google/gemini-3.1-pro-preview',
        'messages' => [['role' => 'user', 'content' => 'Hello!']],
    ]),
    CURLOPT_RETURNTRANSFER => true,
]);
echo curl_exec($ch);

Frequently Asked Questions

Common questions about this model.

What is Google: Gemini 3.1 Pro Preview?
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation... It is accessible through a single OpenAI-compatible API via TamgaStudio.
How much does Google: Gemini 3.1 Pro Preview cost?
Pricing is $2.00 per 1M input tokens and $12.00 per 1M output tokens. Billing is credit-based: you only pay for what you use.
What is the context length of Google: Gemini 3.1 Pro Preview?
Google: Gemini 3.1 Pro Preview supports a context of up to 1,048,576 tokens in one request.
Can I use Google: Gemini 3.1 Pro Preview with the OpenAI SDK?
Yes. TamgaStudio exposes all models through an OpenAI-compatible endpoint: https://api.tamga.studio/v1/chat/completions. Just swap the base URL and API key in your existing OpenAI code.
How do I get an API key?
After signing in, create a key from the "API Keys" section of your dashboard. The key is shown only once and is stored as a SHA-256 hash.