# Unlocking Antigravity 2.0 CLI on Mac with Gemini 3.5 Flash: A Deep Dive

> Explore the cutting-edge capabilities of Google's Antigravity 2.0 CLI and Gemini 3.5 Flash, and learn how to harness their power on Mac.

**Author:** Pavel Elpa
**Editor:** Fargus
**Date:** 2026-06-02
**Category:** Infrastructure
**Tags:** Antigravity 2.0 CLI, Gemini 3.5 Flash, Google, Mac, AI DevOps

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<div class='article-takeaways'>
  <div class='article-takeaways-title'>Key Takeaways</div>
  
    - **Antigravity 2.0 CLI** is Google's terminal developer orchestration tool running on Gemini 3.5 Flash.

    - **Gemini 3.5 Flash** offers real-time search accuracy and extremely low latency.

  

</div>

## Setting Up Antigravity 2.0 CLI on Mac

To set up Antigravity 2.0 CLI on Mac, you'll need to install the Gemini 3.5 Flash engine and configure your terminal environment.

The Antigravity 2.0 CLI is designed to provide a seamless development experience, with features like agentic task orchestration and tools routing.

<div class="article-image-wrapper">
        <img src="https://imagedelivery.net/ow_rAaaM1RH-CTdS31sThQ/d8f81dc6-13ee-4111-f1bb-c1b6996e4100/public" alt="Benchmark bar chart showing GPQA and SWE-bench percentages." />
        <div class="article-image-caption">Benchmark results highlight Claude Opus 4.8 leading on SWE-bench code refactoring, while GPT-5.5 Pro leads on GPQA logic tasks.</div>
      </div>

## Benchmarks and Performance

When it comes to performance, the Gemini 3.5 Flash engine shines, with real-time search accuracy and extremely low latency.

In our benchmarks, we found that Gemini 3.5 Flash outperformed other models in terms of latency, making it an ideal choice for real-time applications.

<div class="article-image-wrapper">
        <img src="https://imagedelivery.net/ow_rAaaM1RH-CTdS31sThQ/24d666fe-23f8-439c-969e-b8aa5c580200/public" alt="Price comparison bar chart." />
        <div class="article-image-caption">GPT-5.5 Pro at $30/M tokens represents a premium pricing tier, whereas DeepSeek V4 Pro and Llama 4 Maverick offer dramatic cost reductions.</div>
      </div>

## Economics of Token Pricing and Latency

One of the key considerations when choosing an AI model is the economics of token pricing.

In this section, we'll explore the cost implications of using different models, including GPT-5.5 Pro, Claude Opus 4.8, and Gemini 3.5 Flash.

<div class="article-image-wrapper">
        <img src="https://imagedelivery.net/ow_rAaaM1RH-CTdS31sThQ/892b1d5f-2b5b-48ef-6669-239d52046f00/public" alt="Positioning chart." />
        <div class="article-image-caption">Gemini 3.5 Flash occupies the low-latency acting corner, whereas GPT-5.5 Pro and Claude 4.8 represent high-latency deep reasoning.</div>
      </div>

<div class='article-table-wrapper'>
  <table class='article-data-table'>
    <thead>
      <tr><th>Feature</th><th>GPT-5.5 Pro</th><th>Claude Opus 4.8</th><th>Gemini 3.5 Flash</th></tr>
    </thead>
    <tbody>
      <tr><td>Input Cost / M</td><td>$30.00</td><td>$6.00</td><td>$1.50</td></tr>
      <tr><td>Output Cost / M</td><td>$180.00</td><td>$25.00</td><td>$9.00</td></tr>
      <tr><td>Latency</td><td>High</td><td>Medium</td><td>Low</td></tr>
    </tbody>
  </table>
</div>

In conclusion, the choice of AI model depends on a careful consideration of performance, latency, and cost.

<div class='article-callout'>
  <div class='article-callout-title'>Factual Verdict</div>
  For real-time applications, Gemini 3.5 Flash is the clear winner, offering low latency and competitive pricing.

</div>