Gemini 3.0 Flash

Approved Data Classifications

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 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	Training Data	Input	Output	Context Length	Cost (per 1 million tokens)
gemini-3-flash-preview	January 2025	Text, Image, Video, Audio, PDF	Text	1,048,576 (in) / 65,536 (out)	$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.",
        },
    ],
});

print(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

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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