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CollectionMulti-Model AI

3+ Multi-Model AI Tools

A curated collection of tools focused on multi-model ai. Compare pricing, features, and positioning to choose the right fit for your workflow.

Published tools4
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Last updated Jan 27, 2026

Featured tools

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Poe

Poe

freemium

Poe is an AI chatbot platform powered by large language models that provides users access to multiple AI chatbots for various tasks. It features seamless switching between bots, custom query creation, and cross-device accessibility, including desktop and mobile apps. Users can also build and share their own personalized AI chatbots within a safe environment that prohibits inappropriate content.

RabbitHoles AI

RabbitHoles AI

paid

RabbitHoles AI is a desktop application that enables users to conduct branching AI chats on an infinite canvas, allowing for long conversations without losing context. It supports multiple AI models simultaneously, advanced settings customization, and integration of various content sources like files and websites. Users can store chats locally, export conversations, and bring their own API keys for flexible AI provider usage.

VerifiedMust-Try
Cursor

Cursor

freemium

Cursor is an AI-powered coding assistant designed to dramatically enhance developer productivity by integrating AI agents directly into your coding environment. It offers features like AI-driven code generation, multi-line edits, smart rewrites, and deep codebase understanding, accessible via IDE, CLI, Slack, and other platforms. With support for top AI models and seamless team collaboration tools, Cursor helps developers focus on higher-level tasks while automating routine coding activities.

Kerlig

Kerlig

paid

Kerlig is an AI-powered writing assistant designed specifically for macOS, enabling users to write emails, Slack replies, Jira tickets, proofread, and chat with documents seamlessly. It integrates over 350 AI models including OpenAI, Anthropic, Google Gemini, and local Apple Foundation Models, providing personalized and customizable AI workflows directly within the Mac environment. With features like document attachments, reasoning models for deep research, and team deployment capabilities, Kerlig enhances productivity and communication efficiency for individuals and teams.