Gemini 3 Flash - AI Model API and Pricing

Built for volume, not for long reads

Fast and cheap with good quality for the rate: that is the whole pitch. Where it struggles is length. Shorter texts come out better. A short description will usually read cleaner than chapter four of a long guide.

Think catalog work. That means a shop with hundreds of items or a social calendar that needs a caption per post. It also means an ad test that needs many variants of one line.

Which tool and preset to use

In AI Article Generator, the Product description and Ad copy presets suit it best. Feed it the product's facts and the tone you want. For example: "Write a 60-word description for a stoneware mug, large size, dishwasher safe, matte sage glaze. Calm, practical tone, no exclamation marks." Then swap the specs and repeat.

For ads, ask for a set in one go. Try "Give me eight headlines under 40 characters for a meal-kit trial. Use a different angle for each: price, time, health, family."

It also runs in AI Ebook Generator. Given its limit, use that route for short guides or lead magnets, and check later chapters for repetition.

Cost per run

An 800-word blog post rounds up to 1k words and costs 5 credits, about $0.05 at the best pack. A 2,000-word article costs 10 credits, about $0.11. It sits 3rd from the cheapest among the 10 text models billed this way.

Alternatives and the rate gap

DeepSeek V4 is cheaper at 2 credits and holds a coherent argument over long articles. It is the better pick when length is the point. Its prose can feel technical.

Claude Haiku 4.5 costs 8 credits and writes fast, natural sentences for captions and headlines. Try it if Flash output feels flat. GLM-5 at 6 credits is the choice when the copy is bilingual or aimed at Asian markets.

Where to actually run it

Gemini 3 Flash API

curl -X POST https://ugesi.com/api/generate \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-3-flash",
    "prompt": "a product shot on white marble"
  }'

<?php
$ch = curl_init('https://ugesi.com/api/generate');
curl_setopt_array($ch, [
    CURLOPT_POST => true,
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_HTTPHEADER => [
        'Authorization: Bearer YOUR_API_KEY',
        'Content-Type: application/json',
    ],
    CURLOPT_POSTFIELDS => json_encode([
        'model' => 'gemini-3-flash',
        'prompt' => 'a product shot on white marble',
    ]),
]);
$response = json_decode(curl_exec($ch), true);
curl_close($ch);
print_r($response);

type GenerateRequest = {
  model: string;
  prompt: string;
};
type GenerateResponse = {
  job_id: number;
  job_token: string;
  credits_held: number;
  status: "queued" | "succeeded";
  output_text?: string;
};

const body: GenerateRequest = {
  model: "gemini-3-flash",
  prompt: "a product shot on white marble",
};

const resp = await fetch("https://ugesi.com/api/generate", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${process.env.UGESI_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify(body),
});
if (!resp.ok) throw new Error(`HTTP ${resp.status}`);
const job = (await resp.json()) as GenerateResponse;
console.log(job.job_id, job.status);

import requests

resp = requests.post(
    "https://ugesi.com/api/generate",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
        "model": "gemini-3-flash",
        "prompt": "a product shot on white marble",
    },
    timeout=60,
)
resp.raise_for_status()
print(resp.json())

{
  "model": "gemini-3-flash",
  "prompt": "a product shot on white marble"
}

The API comes with every credit pack, from Lite to Enterprise, and uses the same balance as the website. API documentation and access →

License and terms of use

Outputs made with paid credits can be used commercially. The maker's own rules for Gemini 3 Flash also apply (Google Generative AI Prohibited Use Policy). The full rules are in our Terms of service.

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