GPT-5.4 lands with Pro, Thinking, mini, nano
OpenAI released GPT-5.4 on March 5, then added mini and nano on March 17, with lower errors, desktop use, and higher API prices.

OpenAI released GPT-5.4 on March 5, 2026, then added mini and nano on March 17.
OpenAI launched GPT-5.4 on March 5, 2026, starting with GPT-5.4 Thinking and GPT-5.4 Pro. Neither tier was open to free users at launch.
| 項目 | 數值 |
|---|---|
| Initial release | March 5, 2026 |
| Additional variants | GPT-5.4 mini, GPT-5.4 nano |
| Mini/nano release | March 17, 2026 |
| Factual error reduction vs. GPT-5.2 | 33% |
| OSWorld-Verified score | 75% |
| GPT-5.2 OSWorld-Verified score | 47.3% |
| Average person OSWorld-Verified score | 72.4% |
| API price vs. GPT-5 equivalents | 4x higher |
What changed
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On March 17, OpenAI added GPT-5.4 mini and GPT-5.4 nano. GPT-5.4 mini was made available to free-tier users, while GPT-5.4 nano shipped only through the OpenAI API.

OpenAI said the new model family was tuned for professional workflows. Reported changes included built-in computer use, stronger deep research, and a 33% drop in factual errors versus GPT-5.2.
- GPT-5.4 Thinking and Pro launched first.
- GPT-5.4 mini reached free users later.
- GPT-5.4 nano stayed API-only.
- API pricing for mini and nano was four times GPT-5 equivalents.
Benchmark results also pointed to better desktop control. In OSWorld-Verified, GPT-5.4 scored 75%, above GPT-5.2 at 47.3% and slightly above the cited human average of 72.4%.
Why it matters
For developers building agents, the release signals a push toward models that can do more than answer text prompts. Built-in computer use and stronger research features make GPT-5.4 more relevant for workflows that touch spreadsheets, browser tasks, and desktop apps.

The pricing split matters too. Free access via GPT-5.4 mini broadens reach, but the 4x API premium on mini and nano raises the cost of using OpenAI’s newest smaller models in production.
The core question now is whether GPT-5.4’s gains in accuracy and computer use are enough to justify the higher API bill for teams that need speed, scale, and agent-like behavior.
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