Gemini 2.5 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 2.5 Flash is a highly efficient multimodal AI model developed by Google, designed to excel in automated tasks and low latency scenarios. Released on March 20, 2025, this model features a context window of over 1 million tokens featuring thinking capabilities for the first time in a Google flash model. This allows the model to process vast datasets and handle complex problems from different information sources, including text, audio, images, video and even entire code repositories.

Capabilities

Model	Release Date	Input	Output	Context Length	Cost (per 1 million tokens)
gemini-2.5-flash	Mar 20 2025	Text, Image, Audio, Video, PDF	Text	1,048,576	$0.30/1M input $2.50/1M 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-2.5-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-2.5-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-2.5-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

• Premium reasoning and coding capabilities
• Handling extremely long contexts
• Best-in-class coding model
• Autonomous, multi-step workflows
• Multimodal input support

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References

1. Google Gemini 2.5 Flash Report Card
   https://cloud.google.com/vertex-ai/generative-ai/docs/models/gemini/2-5-flash
2. Google Gemini 2.5 Report
   https://storage.googleapis.com/deepmind-media/gemini/gemini_v2_5_report.pdf