
The best way to code with AI

Democratizing AI with understandable, customizable, and collaborative multimodal intelligence systems.
Cursor is significantly more popular in terms of media coverage and engagement.
Cursor is more geared toward b2b users, while Thinking Machines Lab targets B2B.
Cursor offers an API for integration into your workflows.
Cursor: The best way to code with AI. Thinking Machines Lab: Democratizing AI with understandable, customizable, and collaborative multimodal intelligence systems.. Both tools take different approaches to address similar needs.
Both offer a free or freemium plan. Cursor is freemium and Thinking Machines Lab is freemium.
The best choice between Cursor and Thinking Machines Lab depends on your specific needs. Compare their features, pricing, and target audience on this page to find the tool that best fits your use case.
Cursor is primarily designed for individuals, while Thinking Machines Lab is built for businesses and professionals.
Cursor offers: AI Agents, Code Review, AI-powered Tab Completions, Shared Chats and Commands. Thinking Machines Lab offers: Open Science and Collaboration, Human-AI Collaboration for creative partnership, Advanced Multimodal AI Capabilities, Tinker API for efficient model fine-tuning.
Based on our data, Cursor currently enjoys greater popularity. However, popularity isn't the only factor — compare features to find the right tool for your needs.
Cursor offers a free trial, but Thinking Machines Lab does not.
Cursor offers 20 integrations (github, slack, linear, jira, sourcegraph...) compared to 0 for Thinking Machines Lab.