OpenAI has released GPT-5.1 Instant and GPT-5.1 Thinking, with upgrades to instruction following, tone presets, and reasoning. Rollout starts with paid users and will expand to free and logged-out users, according to the company's announcement.
What's new in GPT-5.1
- Models: GPT-5.1 Instant and GPT-5.1 Thinking.
- Instant: ChatGPT's most-used model now defaults to a warmer, more conversational tone; improves instruction following for direct answers; uses adaptive reasoning on challenging prompts while maintaining speed.
- Thinking: Adjusts its thinking time by task complexity. On the fastest tasks it runs about twice as fast as GPT-5 Thinking; on the slowest tasks it runs at about half the speed of GPT-5 Thinking.
- Responses use less jargon and fewer undefined terms, per OpenAI.
Personalization and tone controls
- Updated presets: Default, Friendly, and Efficient remain with refinements.
- New presets: Professional, Candid, and Quirky.
- Additional options available under the personalization menu: Cynical and Nerdy.
- Experimental sliders adjust conciseness, warmth, scannability, and emoji frequency.
- Personalization changes now apply across all chats immediately, including ongoing conversations.
- Models follow custom instructions more closely, according to OpenAI.
Rollout and availability
- Rollout begins for paid subscribers, then expands to free and logged-out users.
- Enterprise and Education admins have a seven-day early access toggle for GPT-5.1. The toggle is off by default.
- After seven days, GPT-5.1 becomes the default ChatGPT model.
- Prior models GPT-5 Instant and GPT-5 Thinking will remain in the legacy dropdown for three months for paid users.
Background
OpenAI positions Instant as optimized for speed and Thinking for advanced reasoning. The company compares GPT-5.1 Thinking with GPT-5 Thinking on representative ChatGPT tasks and says Instant's updates focus on delivering direct answers while keeping responses clear and concise. OpenAI also notes a phased rollout and a temporary retention period for prior models.






