ChatGPT 5.5 in NeuralSpace: what's new and why switch from 5.0

Briefly about the main thing (BLUF)

ChatGPT 5.5 is already connected to NeuralSpace - switch in one click. The main thing: the model has become more accurate in long arguments and cleaner in the code. We honestly analyze what has improved, where it disappointed, whether it is worth switching from 5.0 and what about other models.

Honestly - I didn't expect 5.5 so soon. Five came out recently, we just got used to its habits, and now OpenAI is rolling out an update. IN chat NeuralSpace The model is already connected, switches with one click from the drop-down.

I felt it tightly over the weekend. I'm sharing what I found.

The main thing is that I became more accurate in long arguments

This is the first thing that catches your eye. 5.0 had the following effect: you set a complex task with a chain of steps (for example, “make a financial plan for 3 years, taking into account inflation of 8%, a refinancing rate of 16% and taxes”), and somewhere in the middle the model loses one of the inputs. Not a disaster, but I had to double check.

5.5 fixes this thing. I ran it on problems with 5-7 parameters at the same time - it keeps the context until the end of the answer. The increase in MMLU tests is modest, but in practice it is noticeable.

The code has become cleaner

The difference here is subtler, but it is there. I asked him to write an RSS feed reader parser in Python with error handling and retry logic. 5.0 managed it, but added a couple of crutches (try/except around the entire block, without analyzing exception types). 5.5 - described fishing by type, added exponential backoff, commented on why this is so.

For simple tasks there is almost no difference. But on more complex projects (refactoring, parsing other people’s code, migrations) - 5.5 is noticeably more mature. If you are writing code, try using Code section — there the model is optimized for programming.

What about emotional intelligence?

Strange thing. 5.0 had a bias towards “let’s sort out your feelings” - sometimes even when you simply asked which tomato knife to choose. 5.5 this bend was removed. The model imposes a therapeutic tone less and responds more to the point.

Some of my friends, by the way, didn’t like this - they were used to the chat “listening”. It's a matter of taste here. If you want an empathic interlocutor, Claude is still stronger in this regard.

Speed

Not faster. And not slower. The same 5.0 feels. Perhaps OpenAI optimized the hardware, but this is not visible to the user from the street.

Where did you disappoint?

Several things were not fixed:

• Hallucinations in rare topics have not gone away. I asked about a part of an old motorcycle - I made up a part number that doesn’t exist.
• The cut-off date for knowledge is almost the same - March 2026. You still look for the latest through search.
• Long documents (50+ pages) lose the middle in places. It's better to cut into pieces.

That is, this is not a revolution. This is polishing. I would call it “5.0 after a good rest.”

Is it worth switching?

If you write texts or conduct correspondence, there is almost no difference. You can stay at 5.0.

If you work with code, analytics, long chains of reasoning - yes, switch. The quality of answers is higher, there are fewer errors.

IN NeuralSpace switching is free, in one dialogue you can even change models on the fly. I uploaded part of the correspondence to 5.0, then for the final output I took 5.5 and compared it. Comfortable.

What about other models?

Claude, Gemini, Grok, DeepSeek and others are in place. Don't go anywhere. ChatGPT 5.5 does not replace everything, it just replenished the line. I personally continue to race in parallel: in chat I run the same query into two or three models and see who best answers my specific task.

If you haven't tried this approach yet, give it a try. Registration for neuralspace.pro, no VPN. They give you test tokens, enough for a couple of dozen requests to ask the price.

Frequently asked questions (FAQ)

Question: How to get the best result from a neural network?
Answer: Use detailed prompts (descriptions) in English, set the style and details of the scene.

Question: Can these materials be used for commercial purposes?
Answer: Yes, the generated content is entirely yours.