Gemini 3.0 Flash

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 Flash is Google's balanced 3-series model built for speed and scale, offering Pro-level intelligence at Flash speed and pricing. It was released on December 17, 2025. It supports multimodal inputs and a 1,048,576-token input window with up to 65,536 output tokens, and the Gemini 3 series is currently in preview.

Capabilities

Model	Release Date	Input	Output	Context Length	Cost (per 1 million tokens)
gemini-3-flash-preview	Dec 17 2025	Text, Image, Video, Audio, PDF	Text	1,048,576	$0.50/1M input (text/image/video) $1.00/1M input (audio) $3.00/1M output

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-flash-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-flash-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-flash-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

• Low-latency, high-throughput tasks
• Cost-efficient multimodal analysis
• Agentic workflows at scale
• Large-context summarization and extraction
• Real-time chat and support experiences

---

References

1. Gemini 3 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