GPT-5.4 Released! And Take Another Look at OpenClaw: The Real Danger of AI Isn't That It Chats Better — It's Starting to "Work" on Its Own
Table of Contents
- GPT-5.4's Overwhelming Power: Detailed Benchmark Data (Shocking the AI World)
- GPT-5.4 vs Claude Opus 4.6: Use-Case Comparison
- GPT-5.4 Combined with OpenClaw: The Future Where AI's Brain and Hands Unite
- How to Use GPT-5.4 in OpenClaw (The Most Cost-Effective Way)
- Summary: GPT-5.4 Redefines AI Delivery Capability
After GPT-5.4 (GPT5.4) is released, you can get ready to cancel your Claude Code subscription!
Because Claude is great, but it's expensive!!!
Once you see GPT-5.4-Thinking and GPT-5.4 Pro officially released, Claude's shortcomings are completely exposed.
Anthropic blocked OpenClaw outright — your subscribed Claude can't be used with OpenClaw at all, only inside Claude Code. If you want to call it from OpenClaw, you have to hard-wire an API Key.
There used to be another route: using a reverse proxy, with a plugin to proxy out the Claude quota inside Google's Antigravity and throw it to OpenClaw.

But then Google started mass-banning accounts, and that route was cut off too.
OpenAI's models could use subscription quota, but GPT-5.2's code was no good, and GPT-5.3-codex didn't talk like a human. Awkward in every way.
And this time, GPT-5.4 is here! That biggest shortcoming is finally filled!
GPT-5.4's coding ability is on par with GPT-5.3-Codex, its world knowledge is even stronger than GPT-5.2, and you can use it directly with your subscription quota — $20 gets you a fantastic experience.
So tell me, if this isn't OpenClaw's chosen model, who is?
A while back, OpenClaw founder Peter Steinberger joined OpenAI, and it's become very clear that OpenAI is putting its focus on the Computer Use Agent direction.
GPT-5.4's Overwhelming Power: Detailed Benchmark Data (Shocking the AI World)

GDPval: 83.0% This metric measures AI performance on real work tasks, covering knowledge work across 44 occupations such as finance and law.
GPT-5.4 Thinking scores 83.0%, Claude Opus 4.6 is at 78.0%, and GPT-5.3 Codex only manages 70.9%.
GPT-5.4 doesn't just write code — it can talk business, finance and law with you, in plain language, not gibberish.
SWE-Bench Pro: 57.7%
Evaluates real software engineering problems (in four programming languages).
GPT-5.4 Thinking hits 57.7%, GPT-5.3 Codex 56.8% — essentially tied.
Coding ability is fully preserved, while world knowledge has jumped dramatically.
ToolAthlon: 54.6%
Tests AI tool use (the core capability of agents).
GPT-5.4 Thinking scores 54.6%, while Claude Sonnet 4.6 only reaches 44.8% — a lead of nearly 10 points.
OpenAI didn't even run academic knowledge benchmarks, because GPT-5.4 is already far stronger than GPT-5.3-codex.

GPT-5.4 in plain words = GPT-5.3 Codex's coding ability + world knowledge stronger than GPT-5.2 + stronger tool-use capability + super cheap Codex quota.
Put those four together, and you have the perfect base model for OpenClaw.
GPT-5.4 is now available in both Thinking and Pro versions, supporting ChatGPT Web, API and Codex.


GPT-5.4 vs Claude Opus 4.6: Use-Case Comparison
If what you care about is: documents, spreadsheets, slides, research, tool calling, browser/desktop operation and coding all handled by a single model, GPT-5.4's path is more complete.
If what you care about more is: complex coding, long-horizon agents, stable long-context, large codebase handling, Opus 4.6 might suit you better.
But if you've been using OpenClaw lately, GPT-5.4 is unquestionably the best choice right now.
GPT-5.4 Combined with OpenClaw: The Future Where AI's Brain and Hands Unite
Looking at GPT-5.4 alone, you'd think it's just stronger.
Looking at OpenClaw alone, you'd think agents are just hotter.
Put the two together, and the question becomes:
What happens when a GPT-5.4 that's better at reasoning, better at coding, better at using tools and better at operating a computer gets put into an agent shell that can run continuously, manage skills and touch the local environment?
The answer: AI goes from being a "content generator" to fully becoming a "task executor."
In the future, the most valuable AI won't be the one that talks best — it'll be the one that can enter real workflows, get permissions, orchestrate tools and deliver results.
GPT-5.4 shows dramatic improvements on real-task benchmarks like OSWorld-Verified, showing the model has been specifically trained to understand interfaces, take actions and complete end-to-end chains.
GPT-5.4 Thinking scores 75.0% on computer operation, beating Claude Opus 4.6's 72.7%, and it operates at absurd speed.

OpenClaw happens to provide an expression everyone can understand: letting AI no longer stay confined to a chat box, but move into files, browsers, messaging channels and local toolchains.
So GPT-5.4 + OpenClaw = AI's "brain" and "hands" are converging.
How to Use GPT-5.4 in OpenClaw? (The Most Cost-Effective Way)
Both Claude and Gemini are already banned from use in OpenClaw, and using Claude with OpenClaw under authorization is a money-burner.
GPT-5.4 solves every problem.
The OpenClaw founder has joined OpenAI, and the most cost-effective way is to authorize Codex login with your GPT account inside OpenClaw.
As long as you're a GPT member (Plus, Business, Pro) you can use it directly.

Don't know how to get a GPT membership in China? We recommend this legitimate channel — it's been used for a long time for one-click upgrades, and even beginners can handle it:
GPT one-click upgrade: gptplus.org.cn
(No need to worry about account bans — and when Codex updates, it might even suddenly reset your quota)
Summary: GPT-5.4 Redefines AI Delivery Capability
Most people watch a model release and only ask: "How much stronger is it than the previous generation?"
But with GPT-5.4, the more worthwhile question is: what capabilities that were scattered across separate tools has it organized, for the first time, into a working whole?
GPT-5.4 isn't continuing to optimize the chat experience — it's redefining what "model delivery capability" means.
For the past two years, AI's core question was "is the model smart enough";
from GPT-5.4 to OpenClaw, that question is becoming:
Now that AI is both smart enough and starting to grow hands and feet, how much of our work are we actually ready to hand over to it?
GPT-5.4 is here, and OpenClaw is heating up.
Now is the best time to get on board.
