A recent social media post by Morgan has highlighted the capabilities of Cursor AI's Agent model, drawing a direct comparison to OpenAI's now-retired Codex model, while commending Cursor for its superior transparency regarding pricing and token usage. The tweet, which included a link, stated, "> @cursor_ai Also, Cursor Agent model looks exactly like Codex, feels kinda like just multi-model Codex, but with such better transparency around pricing and token use." This observation points to a significant development in AI-assisted coding tools, where functionality meets user-centric economic clarity.
Cursor AI's Agent model, a core component of its integrated development environment (IDE), empowers developers to delegate complex coding tasks to AI. This agent operates by understanding an entire codebase, creating plans for feature implementation, making multi-file edits, and even executing terminal commands. It allows for simultaneous operation of multiple agents and is designed to transform the developer's role into a task manager, overseeing AI-driven implementation.
OpenAI's Codex, which powered GitHub Copilot initially, was a foundational model for code generation and understanding, capable of translating natural language into code. However, OpenAI officially retired the Codex API in March 2023, shifting focus to its newer GPT models, which have since incorporated advanced coding capabilities. The comparison suggests that Cursor's Agent model is achieving a similar level of sophisticated code manipulation and understanding that was once the hallmark of Codex.
A key differentiator highlighted in the tweet is Cursor AI's commitment to transparency in pricing and token usage. Unlike some models where token consumption can be opaque, Cursor provides clear insights into how its agents utilize tokens, which directly impacts operational costs. This transparency is particularly crucial given that agentic workflows, due to their iterative nature and numerous tool calls, inherently consume significantly more tokens than simpler AI interactions.
The Cursor AI Agent model, especially with the release of Cursor v3, leverages a pre-indexed repository data system, allowing its agents to access comprehensive project information for coordinated changes across various files. While offering powerful automation, recent reports have also noted a high-severity vulnerability in Cursor AI's agent, tracked as CVE-2026-26268, which could allow arbitrary code execution through malicious Git features. This underscores the evolving security considerations as AI agents gain more autonomy in development workflows.
