In a recent LinkedIn post, 🌀 Luca Rossi shares an unsolicited update on his experience switching from Claude Code to Codex for his coding and OpenClaw API needs. Rossi, a user who has been testing Codex (specifically version 5.4 with high thinking parameters) over the past few days, posits that it consistently outperforms Claude in several key areas.
Codex’s Perceived Performance Advantages
According to 🌀 Luca Rossi, Codex demonstrates a more thorough approach to coding tasks. He highlights that the model dedicates more time to analyzing the codebase and documentation before executing instructions. This, in his view, leads to more reliable adherence to prompts and, ultimately, higher-quality code generation.
“It spends more time analyzing the codebase and docs before taking action, follows instructions more reliably, and overall just writes better code.”
Rossi emphasizes that his findings are anecdotal rather than the result of formal research. However, he states that the evidence is convincing enough for him to make a definitive switch in his workflow. As 🌀 Luca Rossi notes, the difference in performance was significant enough to warrant this change.
Significant Cost Efficiencies with Codex
Beyond performance, 🌀 Luca Rossi points to a critical financial advantage that influenced his decision: subscription plan compatibility with OpenClaw. Unlike Claude, which he states is not compatible with OpenClaw’s API usage for his needs, Codex’s subscription plans can be leveraged for this purpose. This compatibility translates into substantial savings.
“Another important factor for me is that Codex subscription plans can be used with OpenClaw—as opposed to Claude—so I am saving literally thousands of dollars / month by using it.”
Rossi breaks down his workflow transition clearly. Previously, he utilized Claude Code Max for coding and the Claude API for OpenClaw. He has now transitioned to using Codex Pro for both coding tasks and OpenClaw integration.
Impact on Developer Workflows
🌀 Luca Rossi’s candid post offers a counterpoint to what he perceives as a general consensus, suggesting that developers might benefit from re-evaluating their choices in AI coding assistants. His experience underscores the importance of not only performance but also cost-effectiveness and integration capabilities when selecting tools for complex development environments.
As 🌀 Luca Rossi concludes, while his observations are personal, they represent a real-world test case for developers considering similar tools. The potential for improved code quality and significant cost reduction makes Codex a compelling alternative worth exploring, according to Rossi.
📝 About This Content
This article is based on insights shared by 🌀 Luca Rossi on LinkedIn.
📅 Originally posted on April 13, 2026 | View original post on LinkedIn →