ChatALL is an open-source desktop application that sends one prompt to many AI bots concurrently so users can compare answers and discover the best result, and it is built for LLM gurus, LLM researchers, and developers of LLM applications.

What it is

ChatALL is a JavaScript desktop application built with Electron and Vue.js 3, and it runs on Linux and macOS. It lives in the generative AI ecosystem as an AI interaction interface. It replaces the practice of trying large language models one by one; instead, it sends a prompt to several AI bots at once and presents results for comparison. The project supports ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言, and more, and its Chinese name is 齐叨.

The concrete problem is that LLM behavior can be random and different bots excel at different tasks. ChatALL removes the sequential trial of each bot, which is slow and produces fragmented comparisons. It lets a user issue one prompt and see many answers side by side, so the best answer or creation is easier to find. The supported bot table distinguishes Web Access from API access, and some bots require no login, such as ChatGLM2 6B & 130B and Vicuna 13B & 33B.

Key capabilities

• Send one prompt concurrently to many AI bots, including ChatGPT, Claude, Gemini, Copilot, Perplexity, Phind, and others, to discover the best results.
• Compare bots that have Web Access, API access, or both; the supported bot table marks each bot with its access mode.
• Use ChatGPT through its web interface or API, including the Azure OpenAI service.
• Connect to Gradio endpoints for Hugging Face spaces or self-deployed models.
• Run the app as an Electron desktop application on Linux and macOS, with a Vue.js 3 front end.
• Open the project in GitHub Codespaces for a cloud development environment.
• Read documentation in multiple languages, including Deutsch, Español, Français, Italian, 日本語, 한국어, Русский, Tiếng Việt, and 简体中文.

Who uses it and how

• LLM gurus use ChatALL to find the best answers or creations from LLMs, because the tool runs several bots at once.
• LLM researchers use it to compare strengths and weaknesses of various LLMs in different fields, using the concurrent response view.
• Developers of LLM applications use it to debug prompts quickly and to find the best-performing foundation models.
• Desktop users on Linux and macOS run the Electron app locally, and they can test certain bots without login, including ChatGLM2 6B & 130B and Vicuna 13B & 33B.
• Users who want to evaluate web-accessible bots can send prompts to services such as Bing Chat, Bard, Character.AI, HuggingChat, Kimi, and Poe.

Getting started

Download and install ChatALL from the GitHub Releases page or from chatall.ai, then ask a prompt. The README states that all a user needs to do is download, install, and ask.

How it compares

The facts name no comparable multi-bot chat clients or paid products that ChatALL replaces. ChatALL stands alone in this registry.

When to use it — and when not to

ChatALL is appropriate when the goal is concurrent comparison of many AI bots, especially for prompt debugging or model selection. A user who needs stable, production-grade API integrations should not rely on the web-connected bots in ChatALL, because those connections rely on reverse engineering and face frequent stability issues when service providers update their web interfaces and security measures; many bots also offer web access only. The project describes a desktop application, and the facts mention no database, storage, or SMTP service to operate, but the README itself warns that web-connected bots are inherently less reliable and difficult to maintain.