Hands-on review finds ChatGPT 5 faster and more accurate than GPT-4

A hands-on look at ChatGPT 5

OpenAI has released ChatGPT 5, and a hands-on review published on dev.to puts the new model through coding, writing and research tasks to see how it stacks up against GPT-4. The reviewer's overall conclusion is that the jump is worthwhile for people who rely on the assistant daily — developers, analysts and writers in particular.

The review frames the release as being less about raw intelligence and more about speed, accuracy and adaptability, with OpenAI said to have tightened the architecture, refined training methods and added stronger safety guardrails.

What changed compared with GPT-4

According to the dev.to write-up, five improvements are immediately noticeable in everyday use. Short prompts get near-instant answers. Reasoning is sharper, with fewer logical leaps and clearer step-by-step working on complicated questions. The model keeps track of a conversation for longer without losing the thread, although the reviewer stresses this is not genuine long-term memory. Text, images and code are reported to work together more smoothly. And factual accuracy is noticeably better, with fewer hallucinations, though the occasional misstep still slips through.

In a head-to-head table, the review gives GPT-5 the edge over GPT-4 in every category it scores: speed, reasoning, multi-modal capability, factual accuracy and context length.

How it held up in real tasks

The reviewer tested the model in four scenarios:

• Coding: handed a broken C++ snippet, the model fixed the bug — an unallocated destination buffer in a string copy operation — and explained why the crash happened while suggesting cleaner code patterns. It reached the correct fix with fewer rounds of back-and-forth than GPT-4 needed.
• Content writing: drafts read more naturally, with better pacing and less of the stiffness the reviewer associated with GPT-4 output.
• Research assistance: asked to fact-check claims about the AI industry, the model was better at separating verified facts from speculation and produced fewer confidently wrong answers.
• Conversation: the tone is described as warmer and more personable, and the personality holds up across multiple turns.

The limitations the review flags

The praise comes with caveats. Outputs still need a sanity check, especially on factual claims. There is no permanent memory: the model remembers details within the current session but will not recall them in a brand-new chat. And wrong answers can still sound convincing.

The review's FAQ adds practical notes on access. ChatGPT 5 is not fully free — the fastest models and multi-modal features generally sit behind the paid plan. Real-time web browsing depends on the user's access level and settings; otherwise the model answers from pre-trained knowledge. For work use, the advice is to treat it like a smart assistant: avoid pasting in sensitive data and verify anything high-stakes before acting on it.

The reviewer also offers usage tips: be specific in prompts, combine text with images where possible, iterate rather than settle for the first answer, and double-check important information before relying on it.

Why it matters

This is one reviewer's experience rather than a formal benchmark, but it sketches what users can expect when moving from GPT-4: a faster, more accurate assistant that holds context longer across extended conversations. The caveats matter as much as the praise. Hallucinations appear reduced, not eliminated, and the lack of true long-term memory means sessions still reset. For teams weighing an upgrade, the review suggests heavy users stand to gain the most, while occasional users may find GPT-4 still covers their needs.