Gemini 3.6 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 3.6 Flash is Google's fast, cost-efficient Gemini model designed for agentic workflows, coding, reasoning, and multimodal tasks. It is positioned as a "workhorse" model that balances strong intelligence with lower latency and token efficiency.

Capabilities

Model	Release Date	Input	Output	Context Length	Cost (per 1 million tokens)
gemini-3.6-flash	July 21st 2026	Text, Image, Video, Audio, PDF	Text	1,048,576	$1.50/1M input (text/image/video/audio) $7.50/1M 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-3.6-flash",
    "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-3.6-flash", # 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-3.6-flash",
    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

• AI coding assistants and software agents
• RAG applications over large documents
• Enterprise knowledge assistants
• Data analysis workflows
• Multimodal document understanding
• Fast conversational AI at scale

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References

1. Gemini 3.6 Flash Developer Guide https://ai.google.dev/gemini-api/docs/latest-model
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