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Introduction: Chatty is an open-source, feature-rich interface modeled after Gemini and ChatGPT, built to run open-source models like Gemma, Mistral, and Llama 3 locally in your browser via WebGPU. By removing the need for server-side processing, it ensures all user data remains on your personal device.
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Chatty Product Information

What is Chatty?

Chatty is an open-source, feature-rich interface similar to Gemini and ChatGPT, designed for running open-source models (such as Gemma, Mistral, and Llama 3) locally in the browser using WebGPU. It eliminates server-side processing, ensuring that all user data remains on your personal computer.

How to use Chatty?

To use Chatty, select your preferred model (such as Gemma, Mistral, or Llama 3) and start a new chat session. Enter your query into the interface to receive responses directly within your browser, with no server-side processing required.

Chatty's Core Features

  • Local browser-based execution of open-source models
  • WebGPU utilization for efficient processing
  • Privacy-focused data handling (no server-side processing)
  • Gemini/ChatGPT-like interface

Chatty Use Cases

#1 Engaging with open-source LLMs locally while ensuring your data never leaves your computer.

FAQ from Chatty

Which models does Chatty support? +

Chatty supports various open-source models, including Gemma, Mistral, and Llama 3.

Does Chatty rely on server-side processing? +

No, Chatty operates entirely within your browser using WebGPU, which removes the need for any server-side processing.

Where is my data stored while using Chatty? +

Your data remains on your computer at all times, as all processing is performed locally within your browser.

Chatty Pricing

Free

$0

Free plan available.

Related Model Comparison Pages

Use these comparison pages to understand the trade-offs between the models most relevant to Chatty.

Compare GPT 5.4 and GPT 5.4 Pro across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare GPT 5.5 and GPT 5.4 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare GPT 5.5 and Claude 4.6 Opus across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

Compare GPT 5.5 and Claude 4.6 Sonnet across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.

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