Based on 4 capability dimensions
ChatGPT Best For
Repository coding and rapid iteration
Avoid if: You need non-technical, no-setup workflows
Cursor Best For
Repository coding and rapid iteration
Avoid if: You need non-technical, no-setup workflows
5 versions
GPT-5.5 is described as OpenAI's smartest model yet, offering faster performance and increased capabilities. It is built for complex tasks including coding, research, and data analysis across tools.
Reasoning model that thinks before answering. Excels at complex math, science and coding problems.
Omni model. Faster and cheaper than GPT-4. Real-time audio and vision. Emotional voice responses.
Massive capability jump. Multimodal inputs introduced. Passed bar exam in top 10 percentile.
Initial ChatGPT launch. Shocked the world with conversational AI. Reached 1 million users in 5 days.
10 versions
This release introduces multitasking via async subagents using the /multitask command, allowing parallel processing of requests. It also adds improved worktrees support in the Agents Window for running isolated tasks across different branches, and introduces multi-root workspaces enabling a single agent session to make cross-repo changes spanning frontend, backend, and shared libraries.
Cursor introduced multitasking with async subagents via /multitask command to parallelize requests, improved worktrees experience in the Agents Window for running isolated tasks across branches, and multi-root workspace support allowing a single agent session to target multiple folders for cross-repo changes.
Cursor 3.1 introduces interactive Canvases that allow the AI to respond with visualizations including dashboards and custom interfaces. The Agents Window received a tiled layout for running multiple agents in parallel, and voice input was upgraded with batch STT for higher-quality speech-to-text transcription.
Bugbot can now learn from feedback on pull requests and turn those signals into learned rules that improve future reviews, achieving a 78% resolution rate. MCP server support was added for additional context during code reviews on Teams and Enterprise plans. Additional improvements include a 'Fix All' action, redesigned settings, and improved Bugbot Autofix reliability.
Cursor added 30+ new plugins from partners like Atlassian, Datadog, GitLab, and Hugging Face, enabling cloud agents to read, write, and take actions across more of the user's stack. Previous updates also introduced Automations for always-on agents triggered by schedules or events, JetBrains IDE support via Agent Client Protocol, MCP Apps with interactive UIs, and Bugbot Autofix for automatic PR fixes.