What Actually Improved and What Still Breaks

That is the second replace to OpenAI’s flagship mannequin in only one month. The GPT-5.1 launch was launched in late November and has already proven vital enhancements in coding and complicated reasoning duties. With GPT-5.2, OpenAI claims to have taken it a step additional. This time we’ll focus extra broadly. This mannequin is positioned to excel at creating spreadsheets, constructing shows, writing production-ready code, understanding photographs, dealing with very lengthy contexts, utilizing instruments reliably, and operating advanced multi-step tasks end-to-end.

That is a giant promise.

So as a substitute of repeating the announcement, on this article we’ll have a look at what truly modified, how GPT-5.2 compares to earlier variations, and the place we really feel it is truly extra succesful in your workflow.

What’s GPT5.2?

GPT-5.2 is OpenAI’s highest-performing general-purpose mannequin collection thus far. It is designed for specialised data, not informal chat. The aim is not only to reply questions, however to finish duties that sometimes require a number of instruments, repeated prompts, and handbook stitching of output.

In comparison with GPT-5.1, GPT-5.2 focuses on reliability and execution. Course of longer inputs, observe constraints throughout many steps, and produce extra structured output. It feels much less like good autocomplete and extra like a system that permits you to take possession of your duties from begin to end.

GPT 5.2 mannequin

GPT 5.2 and GPT 5.1

Information work: Actual-world skilled duties equivalent to shows, spreadsheets, and planning paperwork can now be dealt with with near-human skilled high quality. Coding: Extra dependable code technology with extra highly effective debugging, cleaner refactoring, and noticeably higher entrance finish and UI output. Lengthy-context inference: Comply with intent and directions throughout giant quantities of enter, as much as 256,000 tokens, with out dropping earlier particulars. Imaginative and prescient understanding: Graphs, dashboards, and UI screenshots are interpreted way more precisely, and visible errors are considerably diminished. Software Utilization and Brokers: Lengthy multi-step workflows run easily, with constant instrument calls, and with far much less disruption to the precise job.

Additionally learn: Gemini 3 vs GPT 5.1: Which is best?

Strive GPT 5.2

On this part, we take a look at the mannequin throughout various kinds of duties and clarify the way it carried out.

Process 1: Picture evaluation

Check the next duties each time a brand new mannequin is launched: And till now, solely Gemini 3 was in a position to successfully resolve this downside. Let’s examine how GPT 5.2 works on this regard.

immediate:

What number of fingers are there within the given picture?

output:

GPT-5.2 clearly didn’t interpret the picture appropriately. This misperceives the variety of fingers and reveals that visible counting stays a weak point. I had the identical downside beforehand with GPT-5.1. Different areas have improved, however understanding the picture precisely nonetheless requires effort.

Process 2: Summarize the SRT

To check my understanding of context home windows and GPT 5.2, I gave it all of the SRTs from the course on Constructing reviewer brokers. We then requested evaluation and picture technology. Let’s examine what occurred:

immediate:

Evaluation the course SRT and full the next duties:
– Instruments coated within the course
– What are the 7 major takeaways from this course?
– Who ought to take into account enrolling on this course.
– One of many SRTs gives an outline of your complete agent constructing course of. Please give me a diagram to elucidate the identical.

GPT-5.2 dealt with large-scale context effectively and answered analytical questions precisely. We have pinpointed the instruments coated, extracted clear takeaways, and summarized who the course is greatest fitted to. Nevertheless, the picture technology was inadequate. This diagram lacked readability and construction, particularly provided that SRT already features a detailed overview of the agent building course of. Visible output might be way more correct and informative.

GPT 5.2 worth

GPT-5.2 is obtainable with ChatGPT and OpenAI API. GPT-5.2 Pondering might be accessed by way of each chat completion and response APIs. GPT-5.2 Professional is obtainable by way of the Responses API and helps superior inference efforts for advanced duties. GPT-5.2 has a better worth per token than GPT-5.1, however its improved inference and effectivity typically reduces the full variety of tokens wanted to attain high-quality outcomes. For a lot of workflows, greater headline costs are cost-competitive.

security and belief

GPT-5.2 builds on OpenAI’s current security framework with tangible enhancements. They expertise fewer hallucinations, behave higher in delicate areas, and course of advanced instructions extra predictably.

For skilled customers, this reduces silent errors and will increase output consistency. Whereas human overview continues to be necessary, particularly for high-stakes choices, GPT-5.2 reduces the friction and uncertainty that always slowed down earlier fashions.

Additionally learn: A information to OpenAI API fashions and how one can use them

conclusion

GPT-5.2 feels extra like a change within the capabilities of a single mannequin than a characteristic improve. Make sense with deeper inferences, extra dependable coding, higher imaginative and prescient understanding, longer context dealing with, and improved instrument utilization.

For these utilizing AI for severe work, GPT-5.2 turns into greater than only a useful assistant, extra like a trusted collaborator. It isn’t good, however the path is evident. AI techniques are beginning to take cost of total duties, not simply components of them.

When you’ve already tried GPT-5.2, we might love to listen to the way it compares to GPT-5.1 in your workflow.