Model Drop

GPT-5.4

March 5, 2026 2 min read

GPT-5.4, which OpenAI shipped on March 5, 2026, is OpenAI's mainline frontier model that folds in GPT-5.3-Codex's coding and adds native computer use and a far longer context window.

Model: GPT-5.4 (gpt-5.4)
Maker: OpenAI
Ship date: March 5, 2026
Pricing: $2.50 / $15 per M tokens
Context: 1M tokens
Where you can use it:
- ChatGPT as GPT-5.4 Thinking
- OpenAI API and Codex
When to reach for it:
- Agents that click through real apps
- Spreadsheets, decks and documents
- Skip it for polished UI design work
How it compares:
- Ahead of Claude Opus 4.6 and Gemini 3.1 Pro
- Trails Gemini 3.1 Pro on abstract puzzles
What makes it different:
- Tool search loads tools only when needed
- First mainline OpenAI model to run a PC
Early reactions: Early testers called it the first model in a while worth trying, though some found it overly verbose and weak at UI design.
Read more: Introducing GPT-5.4, GPT-5.4 Thinking system card

The benchmarks

OpenAI ran its models at xhigh effort (GPT-5.2 at heavy for GDPval) and compared GPT-5.4 only with its own GPT-5.3-Codex, GPT-5.2 and Pro models; GPT-5.3-Codex's OSWorld score was re-run with a new image setting.

OpenAI's numbers

GDPval (expert knowledge work, wins or ties): 83.0%. +12.1 over GPT-5.3-Codex (70.9%), +12.1 over GPT-5.2 (70.9%).
SWE-bench Pro (harder multi-language fixes): 57.7%. +0.9 over GPT-5.3-Codex (56.8%), +2.1 over GPT-5.2 (55.6%).
Terminal-Bench 2.0 (command-line agent tasks): 75.1%. +12.9 over GPT-5.2 (62.2%), −2.2 under GPT-5.3-Codex (77.3%).
OSWorld-Verified (desktop computer use): 75.0%. +1.0 over GPT-5.3-Codex (74.0%), +27.7 over GPT-5.2 (47.3%).
BrowseComp (hard web research): 82.7%. +5.4 over GPT-5.3-Codex (77.3%), +16.9 over GPT-5.2 (65.8%).
ARC-AGI-2 (abstract puzzles): 73.3%. +20.4 over GPT-5.2 (52.9%), −10.0 under GPT-5.4 Pro (83.3%).
Humanity's Last Exam (no tools) (expert questions): 39.8%. +5.3 over GPT-5.2 (34.5%), −2.9 under GPT-5.4 Pro (42.7%).
GPQA Diamond (grad-level science): 92.8%. +0.2 over GPT-5.3-Codex (92.6%), +0.4 over GPT-5.2 (92.4%).

Independent numbers

Artificial Analysis Intelligence Index (current v4.3.2, AA estimate): 39.0. +7.1 over Claude Opus 4.6 (31.9), +9.3 over Gemini 3.1 Pro (29.7).
ARC-AGI-2 (ARC Prize semi-private, xhigh effort): 74.0%. +4.8 over Claude Opus 4.6 (69.2%), −3.1 under Gemini 3.1 Pro (77.1%).