Why GPT‑5.4 Beats Its Predecessors: Code Power, World Knowledge, and New Agent Features

Model Overview

OpenAI announced GPT‑5.4 as the latest flagship model. It combines the strong code‑generation abilities of the GPT‑5.3‑Codex variant with significantly improved world knowledge (surpassing GPT‑5.2) and adds robust tool‑use capabilities. The model is positioned as a balanced foundation for autonomous agents.

Agent Foundations

Effective autonomous agents require three core capabilities at state‑of‑the‑art levels:

Code execution – the ability to generate, run, and debug code across multiple languages.

World knowledge – up‑to‑date factual and domain‑specific information for professional tasks.

Multimodal understanding – processing visual inputs and integrating them with textual reasoning.

When all three are strong, the model becomes a top‑tier agent.

Benchmark Results

GDPval : 83.0 % – measures performance on 44 real‑world professional tasks (finance, law, etc.). GPT‑5.4 outperforms Claude Opus 4.6 (78.0 %) and GPT‑5.3‑Codex (70.9 %).

SWE‑Bench Pro : 57.7 % – evaluates software‑engineering problem solving in four programming languages. GPT‑5.4 matches GPT‑5.3‑Codex (56.8 %).

OSWorld‑Verified : 75.0 % – tests computer‑operation via mouse and keyboard. GPT‑5.4 exceeds Claude Opus 4.6 (72.7 %).

ToolAthon : 54.6 % – measures tool‑use (agent) capability. GPT‑5.4 beats Claude Sonnet 4.6 (44.8 %).

Key New Features

1‑million‑token context window : The context length expands from 400 k tokens (GPT‑5.3) to 1 M tokens, enabling agents to retain extensive task histories without losing earlier information. Token pricing doubles after 270 k tokens, but the larger window reduces the need for frequent context truncation.

Native computer usage : GPT‑5.4 can generate Playwright‑style code to control browsers and desktop applications and can issue mouse/keyboard commands directly from screenshot inputs. OpenAI released the playwright‑interactive skill (see

https://github.com/openai/skills/tree/main/skills/.curated/playwright-interactive

) that enables simultaneous code and visual interaction.

Tool search : Instead of loading full definitions for every tool, the model receives a lightweight list of available tools and dynamically fetches a tool’s definition only when needed. This on‑demand loading reduces overall token consumption by ~47 % while preserving accuracy.

Pricing and Availability

Subscription pricing is $5 per million input tokens and $25 per million output tokens, roughly half the cost of Claude Opus 4.6. A Pro tier (≈ $200) offers higher limits but is optional for most workloads. At the time of writing, OpenClaw required a manual update to support GPT‑5.4; community integration is expected soon.

Conclusion

GPT‑5.4 delivers a balanced combination of code proficiency, enriched world knowledge, and advanced tool usage at a competitive price, making it a strong candidate as the default model for OpenClaw agents.