ChatGPT vs Claude vs Gemini: which neural network is smarter in 2026

Briefly about the main thing (BLUF)

We put ChatGPT, Claude and Gemini through the same tasks: code, large files, live texts, pictures and mathematics. Below is who won each discipline, where o-models rule, and which neural network to choose in 2026 for your tasks.

For six months I have been using three neural networks in parallel - ChatGPT, Claude and Gemini. You know what's annoying? Each is good in its own way, and none covers everything. Here is an honest comparison - not based on benchmarks, but on real work in NeuralSpace chat, where all three are available nearby.

Who writes better code?

In short, this is the situation. Claude Sonnet - a beast in refactorings. You throw him the entire repository (200k+ context tokens) - and he calmly figures out what’s what. For long projects I choose this one.

GPT‑4o and o‑models - another story. Algorithmic problems, tricky bugs, Olympiad logic - here GPT is stronger. A Gemini? He has a trump card - you send a screenshot of the interface, you get a code. Screenshot → code in seconds. More details in "Code" section.

Large files: who doesn't lose the thread?

Claude This is a clear favorite here. 200 thousand context tokens - and he actually uses them, and doesn’t pretend to be. Quotes accurately, does not confuse the beginning with the end. Gemini is also not bad with long texts, but Claude is more stable.

But GPT with large documents sometimes “forgets” the middle. Seriously. You give him a 50-page contract - he remembers the beginning, he remembers the end, but he may miss an important point on page 27. It's annoying.

Texts: who writes humanly

Honestly, Claude writes more vividly than anyone else. Without bureaucracy, without this “AI raid”, which is immediately felt. GPT‑4o - generalist: tell him to tweet like a teenager or like a professor - perfectly stylized. Gemini A bit dry. But the facts are more accurate than both - if you need an article with numbers and without fiction, it will come in handy.

Pictures, voice, video - who can do what?

GPT‑4o And Gemini 2.5 parse images approximately equally well. But GPT has a trick that the rest don’t have - Realtime Voice. Live conversation by voice without pauses or delays. You speak, he answers instantly. Just like calling a friend, only the friend knows everything.

Logic and mathematics: o‑models rule

If the task requires deep reasoning - mathematics, formal logic, multi-stage debugging - OpenAI o-models are still ahead. Claude Extended Thinking is breathing down your neck. Gemini is catching up, but still lags behind on truly complex tasks.

So what should I choose?

• Claude — for long texts, code with a lot of context, and everything where the “humanity” of the answer is important.
• o‑models GPT — complex algorithms, reasoning, tasks where you need to think 10 steps ahead.
• GPT‑4o — for every day plus voice mode.
• Gemini - multimodal and factual accuracy.

My advice is don't choose just one. IN NeuralSpace you can ask one question to all three and compare the answers side by side. You pay without VPN — and you get access to the entire zoo of models at once. Try it for a week and you will understand which neural network is best for your tasks.

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.