Introduction
If GPT-5 felt like a brilliant but slightly cold coworker, GPT-5.1 is the version that shows up after a long weekend, has had coffee, and remembers that you are a human. This OpenAI update is not a sci-fi leap in raw IQ. It is a deliberate shift in how the model thinks, talks, and adapts to you, whether you are debugging code, drafting a report, or just trying to survive Monday.
Under that new label, the update comes in two main flavors that matter for most people: an Instant model that handles everyday work and a Thinking model that leans into heavy reasoning. Together they sit behind routing that tries to pick the right brain for each request, while new controls let you shape ChatGPT personality and AI writing style instead of fighting the default tone every time you open a chat.
The question hanging over everything is simple. Is GPT-5.1 actually better, or is this just a friendly coat of paint on the same engine? Time to walk through what changed, how it behaves in practice, and where it lands in the very real GPT-5.1 vs GPT-5 debate.
Table of Contents
1. What Is GPT-5.1? The Two New Brains

At a high level, this release is an iteration on GPT-5, not a new species. The architecture stays in the same family, but the way it spends computation and expresses itself has shifted.
There are two models that shape the experience.
- GPT-5.1 Instant is the new default for ChatGPT. It is tuned to feel warmer and more conversational, and it now has “adaptive reasoning.” That means it decides when to think harder. For an easy prompt, it responds quickly. For something more subtle or technical, it takes a beat to reason internally before answering, without forcing you to switch models.
- GPT-5.1 Thinking is the upgraded reasoning model. It still does the long chain of thought work, yet it varies thinking time more aggressively. On simple queries it speeds up. On complex ones it is willing to spend more tokens and more time to chase a better answer.
On paper, Instant is the daily driver, while the Thinking model is the one you pull out for mountain roads, research problems, or hairy multi step workflows. You do not always have to pick manually. Routing through the Auto mode increasingly decides which brain to use behind the scenes.
2. The Vibe Shift: ChatGPT Personality Grows Up
The most visible change is not in math scores. It is in tone.
People complained loudly that GPT-5 felt like a dense corporate report generator. Answers were accurate, but often packed with jargon, filler bullet points, and an emotionally flat “professional” voice that made long sessions tiring. Others loved that seriousness and did not want a chatbot that sounded like it lived on TikTok.
The new release tries to walk that line. Out of the box, both the Instant and Thinking variants sound more human. They acknowledge feelings more directly, cut some of the boilerplate, and get to the useful part faster. The examples in the release post show the difference clearly: where GPT-5 wrote long, structured lists, GPT-5.1 leans into shorter explanations, more direct reassurance, and a bit of playful voice.
That warmth is exactly what many users asked for, and exactly what others find irritating. Reddit threads are already split between “finally it feels less like a PDF” and “stop talking to me like a life coach.” That tension explains why customization is such a big part of this launch.
3. How To Tune ChatGPT Personality Instead Of Fighting It

If you have ever typed “stop being so cheerful” into a prompt, this part is for you.
The update ships with upgraded personalization controls that let you shape both ChatGPT personality and AI writing style without elaborate system prompts. In the new Personalization settings you can choose a base style such as Default, Professional, Friendly, Candid, Quirky, Efficient, Nerdy, or Cynical. These presets match the most common ways people already nudged the model.
On top of that, there are experimental sliders that let you tune traits directly: how concise you want responses to be, how warm, how scannable, and how often emojis appear. You can also tell it to stick closer to bullet heavy structure or more free form paragraphs. Updates apply across all chats instantly, including ongoing threads, so you do not have to start over.
This is where GPT-5.1 gets interesting for writers. If you care about AI writing style, you can now tell the assistant to match the tone of a technical blog, a neutral report, or a blunt internal memo and actually have it remember, instead of renegotiating the vibe in every new tab. Most people will simply call this “Chat GPT 5.1 feeling more like me,” which is exactly the point.
4. Is The New Model Actually Smarter?
Now to capability, not vibes.
OpenAI did not publish a big intelligence leaderboard this time, which triggered a wave of skepticism. The official story is that the Instant model uses adaptive reasoning to get better results on math and coding tasks such as AIME 2025 style questions and Codeforces style problems, without always switching you over to the heavy reasoning tier. The examples match that story. On certain trick questions, Instant now quietly does a short burst of hidden reasoning and lands on the right answer instead of confidently guessing.
For the reasoning tier, the change is less about brand new skills and more about resource allocation. On a distribution of real ChatGPT queries, the Thinking model now runs roughly twice as fast on the easiest tasks and twice as slow on the hardest ones at the same default thinking depth. That is exactly what you want from a reasoning engine. Spend less effort telling someone what time it is, more effort when they hand you their entire codebase and a failing unit test.
From the system card addendum, the safety and refusal metrics tell their own story. On difficult “production benchmark” tests, the refreshed Instant model improves over earlier Instant versions on most disallowed content categories, including hate, violent content, and jailbreak resistance. The latest GPT-5.1 Thinking stays broadly comparable to GPT-5 Thinking, with small regressions on harassment and disallowed sexual content that OpenAI plans to address with further tuning. New evaluations for mental health and emotional reliance show mixed but improving results, especially for Instant on tough conversations about distress and unhealthy dependence on the assistant.
So is the release smarter? In narrow academic terms, it is probably a modest bump. In daily use, especially for structured reasoning and instruction following, it feels more like “the same brain, but finally listening and pacing itself correctly.”
5. GPT-5.1 vs GPT-5: Speed, Tokens And Cost
Underneath the tone shift, GPT-5.1 also changes how many tokens it spends to answer you at different difficulty levels. Instead of one fixed distribution, the model now stretches and compresses its responses.
Here is a simplified view of how token usage changes on standard settings for the chat model:
GPT-5.1 Token Efficiency By Response Length
| Response Length Percentile | GPT-5 Tokens (Normalized) | GPT-5.1 Tokens (Normalized) | Change |
|---|---|---|---|
| 10th percentile | 1.00 | 0.43 | 57% fewer tokens |
| 30th percentile | 1.00 | 0.69 | 31% fewer tokens |
| 50th percentile | 1.00 | 1.00 | Same length |
| 70th percentile | 1.00 | 1.21 | 21% more tokens |
| 90th percentile | 1.00 | 1.71 | 71% more tokens |
For easy questions, responses from the new model tend to be more concise. For hard ones, it is willing to invest more detail and internal reasoning. From a cost perspective, that means a lot of everyday prompts get cheaper, while genuinely complex work gets a little more expensive but also more useful.
That blend is what defines the GPT-5.1 vs GPT-5 tradeoff. If you mostly use ChatGPT as a smarter search bar, you may mainly notice the improved tone and instruction following. If you use it to refactor serious code or reason about multi step plans, the extra tokens on the tail end can be worth it.
6. Safety, System Cards And The Frontier Line
One way to judge a release like this is to look past the marketing and read the system card fine print.
In the addendum, OpenAI reports safety scores for both the upgraded Thinking model and the refreshed Instant model across categories including harassment, hate, extremism, sexual content, self harm, and more. Scores are reported as “not unsafe” rates on hard evaluation conversations, where 1.0 means every response stayed inside policy. The Instant variant outperforms the August Instant model in every category and lands very close to the October version, while the new GPT-5.1 Thinking is slightly worse than GPT-5 Thinking on a few axes, mostly related to borderline harassment and sexual content. Both variants remain strong at rejecting explicit jailbreak attempts on the StrongReject benchmark, where they stay near the high nineties in not unsafe rates.
The same document classifies GPT-5.1 as a “High” risk model in biological and chemical domains under the Preparedness Framework, just like GPT-5. That triggers stricter internal safeguards and reviews. In cybersecurity and AI self improvement domains, the models stay below the high risk threshold, based on near final checkpoint evaluations.
You would never see that level of detail in pure marketing copy. It reflects where the frontier line actually sits right now. The model is powerful enough to need careful controls for certain scientific domains, while still falling short of the worst case scenarios people imagine for autonomous cyber offense or recursive self improvement.
Here is a compact snapshot of some of those safety comparisons:
GPT-5.1 Safety Outcomes By Category
| Category | GPT-5 Thinking Not Unsafe | GPT-5.1 Thinking Not Unsafe | Instant Not Unsafe |
|---|---|---|---|
| Harassment | High eighties | Mid seventies | Mid eighties |
| Hate | High eighties | Low eighties | High eighties |
| Sexual Content | Around ninety | High eighties | Low nineties |
| Mental Health | Under fifty | Around seventy | High eighties |
| Emotional Reliance | Low eighties | High seventies | Mid nineties |
| Jailbreak Resistance | High nineties | High nineties | High nineties |
The exact numbers matter less than the shape. Instant becomes safer and more stable across the board, which fits its role as the default. Thinking carries more nuance, slightly more risk in some categories, and more raw reasoning power.
7. Why This OpenAI Update Landed Now
The timing of this drop is not subtle. It arrives in the middle of a very loud race with Gemini, Claude, Grok, and a growing crowd of open models. On Reddit and Twitter, people immediately speculated that this OpenAI update was meant to land just before a Google announcement window.
The release itself feels rushed in a few ways. No big benchmark table. A relatively short system card. API access for the new models in the days after the consumer launch instead of at the same moment. Even the naming rekindles the familiar confusion about Instant, Thinking, Auto, Pro, and mini variants.
At the same time, this is exactly the kind of update you ship when the competitive pressure is high. You improve instruction following, speed, and ChatGPT personality, which are what millions of people feel every day. You keep the underlying model family stable. You publish enough safety data to show that you did the work, then iterate in production.
In other words, GPT-5.1 is not an attempt to win a leaderboard war. It is an attempt to keep the flagship product feeling sharp while the rest of the field gets louder.
8. What Developers Get From The New Models

If you build on the API, the interesting part is not just that ChatGPT feels nicer in the browser. It is how this generation of models plugs into your stack.
The Instant variant arrives in the API under a new chat name, taking over the everyday slot. The Thinking model shows up as the explicit reasoning endpoint, with adaptive reasoning exposed in a more direct way, so you can decide when to pay for deeper thinking in your own tools. Both inherit the routing logic that powers the Auto mode, and over time that router will likely become a bigger part of how developers structure their calls.
Rollout is staged. Paid tiers such as Pro, Plus, Go, and Business see the new options first in the ChatGPT interface, then free users follow. Enterprise and education plans get a short early access toggle period. GPT-5 remains available as a legacy option for a few months, which matters if you run critical workflows that you cannot migrate overnight.
For teams that care about AI writing style and brand tone, the personalization features matter as much as the raw models. You can align the default behavior of ChatGPT or internal tools with your company voice, then rely less on brittle prompt templates that try to simulate personality in every call.
9. Final Thoughts And How To Make GPT-5.1 Work For You
Strip away the launch noise and one picture emerges. GPT-5.1 is not a revolution. It is a meaningful refinement of GPT-5 that focuses on how the model feels, how it allocates effort, and how safely it behaves under pressure.
If you are a casual user, the pitch is simple. Chat GPT 5.1 will feel more natural to talk to, follow your instructions more reliably, and let you choose a personality that does not drive you up the wall. If you are a developer, you get cleaner defaults, more flexible reasoning knobs, and a clearer roadmap for how Instant and Thinking fit together.
To get real value from GPT-5.1, do three things.
- Pick a personality preset that matches how you actually like to be spoken to, then tweak the sliders until the responses match your taste.
- Use the Instant model for quick tasks, writing, and exploration, and reserve GPT-5.1 Thinking for problems where you genuinely want deeper analysis or planning.
- Treat this OpenAI update as a chance to clean up your own prompts and workflows, not just as a shiny new model. The better you describe your goals, constraints, and formats, the more the adaptive reasoning and style controls can help.
The models will keep changing. The harder, more useful question is how you adapt your own habits.
GPT-5.1 gives you more control over tone, effort, and safety than any previous ChatGPT release. Use that. Shape it into a tool that sounds like you, thinks at the level you need, and quietly takes work off your plate. That is the kind of progress that matters long after the launch hype scrolls out of view.
Can I give ChatGPT a personality?
Yes. With GPT-5.1 you can assign ChatGPT a personality using the updated Personalization settings. You pick presets like Professional, Candid, Quirky or Efficient, then fine-tune traits such as warmth, conciseness, and emoji use so the assistant consistently matches your preferred tone.
What is the main difference between GPT-5 and GPT-5.1?
GPT-5.1 is a refinement of GPT-5, not a full generational jump. It focuses on a warmer, more conversational ChatGPT personality, stronger instruction following, and adaptive reasoning that shifts thinking time based on task difficulty, improving both everyday speed and deep reasoning quality.
Why did OpenAI not release traditional performance benchmarks for GPT-5.1?
Instead of a big table of capability benchmarks, OpenAI released a system card addendum for GPT-5.1 that emphasizes safety, misuse resistance, and jailbreak performance. The update is framed around qualitative improvements in communication style, efficiency and control rather than headline IQ scores.
How does the new “adaptive reasoning” in GPT-5.1 work?
Adaptive reasoning in GPT-5.1 lets the model vary how long it “thinks” before replying. For simple prompts it responds quickly using fewer tokens, and for complex prompts it takes more time and tokens to reason through the problem, which boosts accuracy without slowing down easy everyday tasks.
Is GPT-5.1 better than GPT-5, or is it just a “vibe shift”?
GPT-5.1 is both a vibe shift and a technical upgrade. The most visible change is a friendlier ChatGPT personality and richer style controls, but users also see better instruction following, improved math and coding performance via adaptive reasoning, and more efficient token use across simple and hard queries.
