Gemini 3.1 Pro

Approved Data Classifications

This model is only approved for Open Data. When leveraging NaviGator AI’s suite offerings, please ensure you are selecting models that meet the compliance requirements in accordance with UF’s Data Classifications, grant awards or project specifications, and state and federal law.

Description

Gemini 3.1 Pro is the next iteration in the Gemini 3 series and builds on Gemini 3 Pro’s foundation with improved reasoning, behavior, and multimodal capabilities. It supports text, image, video, and audio inputs, retains the up to ~1,048,576-token context window and up to ~65,536 output tokens in preview, and adds finer control over reasoning depth with multiple thinking levels.

Capabilities

Model	Release Date	Input	Output	Context Length	Cost (per 1 million tokens)
gemini-3.1-pro-preview	Feb 19 2026	Text, Image, Video, Audio, PDF	Text	1,048,576	$2.00/1M input (<=200k) $4.00/1M input (>200k) $12.00/1M output (<=200k) $18.00/1M output (>200k)

info

• 1M represents 1 Million Tokens
• All prices listed are based on 1 Million Tokens

Availability

Cloud Provider

Usage

curl

curl -X POST https://api.ai.it.ufl.edu/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer <API_TOKEN>" \
-d '{
    "model": "gemini-3.1-pro-preview",
    "messages": [
        {
            "role": "system",
            "content": "You are a helpful assistant."
        },
        {
            "role": "user",
            "content": "Write a haiku about an Alligator."
        }
    ]
}'

python

from openai import OpenAI
client = OpenAI(
    api_key="your_api_key",
    base_url="https://api.ai.it.ufl.edu/v1"
)

response = client.chat.completions.create(
    model="gemini-3.1-pro-preview", # model to send to the proxy
    messages = [
        { "role": "system", "content": "You are a helpful assistant." },
        {
            "role": "user",
            "content": "Write a haiku about an Alligator."
        }
    ]
)

print(response.choices[0].message)

javascript

import OpenAI from 'openai';

const openai = new OpenAI({
  apiKey: 'your_api_key',
  baseURL: 'https://api.ai.it.ufl.edu/v1'
});

const completion = await openai.chat.completions.create({
    model: "gemini-3.1-pro-preview",
    messages: [
        { role: "system", content: "You are a helpful assistant." },
        {
            role: "user",
            content: "Write a haiku about an Alligator.",
        },
    ],
});

console.log(completion.choices[0].message)

When to Use

• Complex, high-stakes reasoning and planning
• Advanced coding and system design
• Deep multimodal analysis
• Long-context research and synthesis
• Agentic workflows that need maximum accuracy

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References

1. Gemini 3.1 Developer Guide
   https://ai.google.dev/gemini-api/docs/gemini-3
2. Gemini Models (Gemini API)
   https://ai.google.dev/gemini-api/docs/models
3. Gemini API Pricing
   https://ai.google.dev/gemini-api/docs/pricing