Google

Build Apps with Gemini Pro

Google's advanced multimodal model with strong coding and reasoning capabilities.

Google2M tokens contextFree tier available, pay-per-use for higher limits
Try Gemini Pro

fast Speed

Response time

great Quality

Code output

8 Frameworks

Supported

How Gemini Pro Writes Code

Generates practical, working code with a focus on functionality. Strong at data processing tasks and Python code. Good at converting screenshots or designs into working code thanks to multimodal capabilities.

Code Quality Details

Context window2M tokens
PricingFree tier available, pay-per-use for higher limits

Sample Output from Gemini Pro

Prompt: "Build a BMI calculator with height and weight inputs"

import { useState } from "react"

function BMICalculator() {
  const [height, setHeight] = useState("")
  const [weight, setWeight] = useState("")

  const bmi = height && weight
    ? (parseFloat(weight) / (parseFloat(height) / 100) ** 2).toFixed(1)
    : null

  const getCategory = (bmi: number) => {
    if (bmi < 18.5) return { label: "Underweight", color: "text-blue-500" }
    if (bmi < 25) return { label: "Normal", color: "text-green-500" }
    if (bmi < 30) return { label: "Overweight", color: "text-yellow-500" }
    return { label: "Obese", color: "text-red-500" }
  }

  return (
    <div className="max-w-sm mx-auto p-6 space-y-4">
      <h2 className="text-xl font-bold">BMI Calculator</h2>
      <input type="number" placeholder="Height (cm)"
        value={height} onChange={e => setHeight(e.target.value)}
        className="w-full border rounded px-3 py-2" />
      <input type="number" placeholder="Weight (kg)"
        value={weight} onChange={e => setWeight(e.target.value)}
        className="w-full border rounded px-3 py-2" />
      {bmi && !isNaN(parseFloat(bmi)) && (
        <div className="text-center p-4 bg-gray-50 rounded-lg">
          <p className="text-3xl font-bold">{bmi}</p>
          <p className={`font-medium ${getCategory(parseFloat(bmi)).color}`}>
            {getCategory(parseFloat(bmi)).label}
          </p>
        </div>
      )}
    </div>
  )
}

Gemini Pro favors a direct, functional approach. The BMI calculation is inline with derived state rather than stored state, and the category lookup is a simple function. Practical and to-the-point.

Strengths

Gemini Pro stands out for several key capabilities that make it a strong choice for AI-assisted development.

  • Multimodal understanding
  • Large context window
  • Good code generation
  • Fast responses

Considerations

Being transparent about trade-offs helps you choose the right model. Here are some things to keep in mind with Gemini Pro.

  • Code quality slightly below Claude/GPT-4 for complex UIs
  • May produce less idiomatic React code
  • Occasional inconsistencies in multi-file output

Best For

Supported Frameworks

Use Gemini Pro to build apps with any of these frameworks. Click a card to explore templates and example prompts.

Frequently Asked Questions

Is Gemini Pro good for code generation?

Yes. Gemini Pro by Google is well-suited for code generation, with great code output quality and strengths in Multimodal understanding and Large context window. It excels at Image-to-code generation, Data analysis apps. Many developers use Gemini Pro with LoomCode AI to build working apps from natural language descriptions across React, Next.js, Vue, Python, and other frameworks.

How fast is Gemini Pro for building apps?

Gemini Pro offers fast speed for code generation, which means you can iterate quickly with near-instant responses. With LoomCode AI, you describe your app in plain English and receive runnable code. For rapid prototyping and MVP development, its speed is a significant advantage.

What frameworks work with Gemini Pro?

Gemini Pro supports all 8 frameworks available in LoomCode AI: React, Next.js, Vue.js, Python, Streamlit, Gradio, PHP, and Laravel. Whether you need a React single-page app, a Next.js full-stack project, a Streamlit data dashboard, or a Laravel backend, Gemini Pro can generate working code. Each framework has optimized prompts and templates—simply choose your framework and describe what you want to build.

How much does Gemini Pro cost?

Free tier available, pay-per-use for higher limits. LoomCode AI lets you try Gemini Pro without any upfront cost—you only pay for API usage based on your provider's pricing. For developers on a budget, some models offer free tiers or extremely low per-token rates. Check Google's current pricing page for the latest rates.

Can Gemini Pro build complex applications?

Yes. Gemini Pro can build complex applications including multi-page dashboards, CRUD systems, data visualization tools, and full-stack apps. Its great quality output and 2M tokens context window allow it to handle sophisticated requirements. Keep in mind: code quality slightly below claude/gpt-4 for complex uis may produce less idiomatic react code. For the most demanding projects, we recommend iterating in smaller steps or using more specific prompts.

Ready to build with Gemini Pro?

Start creating apps from a simple description. No setup required—just describe your idea and get working code.

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