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Model releases

New reasoning model takes longer to answer, and gets more right

Slower responses, fewer mistakes on hard problems. Who should switch, and who should not.

Humanopia Editorial Team · Oct 1, 2026 · 2 min read

Prices did not change, but limits did. Heavy users may hit the new caps sooner, especially when they upload large files or run long tasks in the background.

Privacy groups asked how the new data will be stored and for how long. The company says customer data is not used for training by default on business plans. Consumer plans have a setting that you should check.

The details

We will update this story as more independent testing is published. If you have used the feature and want to share what you found, write to the editorial team.

  • Rolling out region by region
  • No change to default privacy settings
  • Older versions stay available for now
  • Available first to paid plans

What changes for you

The practical advice is the same as always: try it on a low-stakes task first, check the output against a source you trust, and keep a human in charge of anything that matters.

The question is not whether it works in a demo. It is whether it works on Tuesday afternoon with real data.

A technology analyst

The timing is not an accident. Competitors have shipped similar updates in recent months, and every lab wants to be the default choice when a company signs a yearly contract.

The bigger picture

Independent researchers were quick to test the claims. Early results broadly match what the company said, with the usual caveat: benchmarks measure narrow skills, and real work is messier than a test set.

Regulators have not commented yet. In the EU, new obligations for general-purpose models mean that documentation like this is now expected rather than optional.

At a glance

QuestionShort answer
Who is affected?Most everyday users, gradually
Does it cost more?Not for now
What should I do?Try it on a low-stakes task first

What critics say

Not everyone is convinced. Some analysts say the update is mostly about catching up with rivals rather than moving the field forward. Others point to small but useful changes that the headlines missed.

If you use these tools at work, ask your administrator whether the new feature is turned on, and what the company policy says about using it with customer data.

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