What is the best AI assistant in 2026?

It depends on one question: do you want one lab's models, or all of them. Claude and ChatGPT each give you their own lab's models, polished, with the newest one first. Perplexity is the best pure answer engine. Zeplik gives you every major lab in one chat with connectors, document collections and automation included on every plan. If you want a terminal coding agent, Claude is the better pick and this page says so.

Which AI assistant gives you the most models?

Zeplik, by a wide margin: 285 models across 53 labs in one chat, switchable mid-conversation. Claude and ChatGPT each serve their own lab's models, which is a deliberate choice rather than a shortcoming, and it is the one difference neither can close without selling a competitor's model.

Which one is best for working with my own documents?

All five will read a file. The differences are how many you can keep and how they are read. Zeplik's collections run from 25 on the entry plan to 500 on the top plan and are cited by the page they came from. Chatly caps knowledge bases at 2, 5 or 25 by tier. Claude offers Projects, capped at 5 on the free tier, and ChatGPT offers Projects from the Plus plan.

Entry paid plans are close: Chatly is $18 billed quarterly, Claude and Zeplik are both $20 a month, and Claude is $17 if you pay annually. The gap opens at the top, where Zeplik is $80, Claude Max starts at $100 and Chatly Ultra is $183 quarterly. All figures were read from each vendor's own page on 2026-10-28.

Where is Zeplik worse than the others?

No terminal coding agent, no single sign-on or audit logs, macOS only on desktop, and we get a lab's newest model when it reaches the API rather than on launch day. If any of those is load-bearing for you, one of the others is the right answer.

The best AI assistant in 2026, compared honestly

Five products that all look alike from the pricing page and are not alike at all: Zeplik, Claude, ChatGPT, Perplexity, Chatly. Every competitor figure below was read from that vendor’s own live page on 2026-10-28, and every figure of ours comes from the running product rather than a brochure. We make one of these, so the section on where the others beat us comes before the section on price.

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What each one actually is

Zeplik(ours): Every major lab's models in one chat, with connectors, collections and automation
Claude: Anthropic's own models, with a strong coding agent
ChatGPT: OpenAI's own models, with the widest consumer reach
Perplexity: An answer engine built around cited web search
Chatly: Multi-model chat with per-tier feature limits

Where the others beat us

We publish this page, so start here. These are the reasons to pick something else, written by us, and none of them is a close call.

A terminal coding agent. Claude Code ships with every paid Claude plan and runs as an agent inside a developer's own terminal and editor. We have a website builder, which is a different thing for a different person. If you are a developer who wants an agent in your repository, that is a real reason to pick Claude and we are not going to pretend otherwise.
A lab's newest model on day one. A lab ships its frontier model into its own product first. We route to it once it reaches the API, which is usually quick and is never instant. If being first matters to you, go to the source.
Enterprise controls. Single sign-on, SCIM provisioning, audit logs and role-based access are standard at the top of this market and we do not have them yet. A company with a security review to pass should not pick us on the strength of a feature table.
Windows. Our desktop app is macOS only. The web app works everywhere and the phone apps are on both stores, but if you want a native Windows application today, three of the four others have one and we do not.
Brand recognition. ChatGPT is a household word and we are not. That is worth something real when you are asking a team to adopt a tool, and no feature row cancels it.

The comparison

Dimension	Zeplik	Claude	ChatGPT	Perplexity	Chatly
Whose models you getThe one difference a competitor cannot close by shipping a feature, because closing it would mean selling a rival's model.	285 models across 53 labs, switchable mid-conversation	Anthropic's own models	OpenAI's own models	A selection of third-party models on paid tiers	Several, presented as speed modes rather than named models
Largest context windowHow much of a long document or codebase can be in front of the model at once.	Up to 2,000,000 tokens, depending on the model you pick	Stated up to 1,000,000 tokens	400,000 on reasoning models; 27K to 128K on instant models by plan	Not published	Not published
Your own documentsWhether the product keeps a library it reads from, rather than files you re-attach to each message.	Collections: 25 on the entry plan, 500 on the top plan, cited by page	Projects, capped at 5 on the free tier	Projects, from the Plus plan	Spaces for grouped research	Knowledge bases: 2, 5 or 25 by tier
Connected appsWhat the assistant can actually do in the tools you already use.	900 on every paid plan	Available; a count is not published	Apps and plugins; a count is not published	Limited	2, 5 or 40+ by tier
Runs on a schedule	Yes, on every paid plan	Yes, on Pro and above	Yes, from Plus	No	2, 5 or 25 tasks by tier
Ready-to-run skills	465, on every plan	Not published	Custom GPTs, from Plus	Not published	A smaller built-in set
Images, music and videoGenerated in the conversation, billed from the same balance.	Image, music and video	No first-party generation	Image generation included	Some image generation	Image generation
Publishes a website	Yes, deployed to a live address	No	Sites	No	Yes
Entry paid plan	$20 a month, 120 credits	$20 a month, or $17 billed annually	Go	Not published	$18 billed quarterly
Top individual planWorth reading next to the row above: the ceiling tells you what the product thinks a heavy user is worth.	$80 a month, 600 credits	Max, from $100 a month	Pro	Not published	$183 billed quarterly
What a higher plan unlocksThe row we would most like you to check on the others, because it is the one that decides whether you hit a wall later.	Only the monthly credit allowance. Every capability is on every plan	Opus access, Research, and Projects past the free cap	Projects, tasks, custom GPTs and larger context	Not published	Connected apps, knowledge bases and scheduled tasks are each capped per tier

Competitor figures read from each vendor’s own pages on 2026-10-28. Perplexity’s pricing page did not resolve at that time, so no Perplexity price is stated here rather than one being estimated.

How to choose, in one paragraph each

Pick Claude

if you write code. Claude Code is in every paid plan, runs in your own terminal, and nothing else on this page is close to it. Anthropic's models are also the ones many people prefer for long-form writing, and you get them the day they ship.

Pick ChatGPT

if you want the most widely supported assistant and the shortest path to someone else knowing how to help you. The ecosystem is the largest, voice and image generation are mature, and the brand means nobody has to be persuaded to try it.

Pick Perplexity

if the job is almost always a question with a sourced answer. It does that one thing better than a general assistant does it, and a focused tool beats a broad one when the task really is narrow.

Pick Chatly

if you want multi-model chat with fewer decisions in front of you. Presenting a few speed modes instead of hundreds of named models is a genuine kindness if you do not want to choose, and it has been doing this longer than we have.

Pick Zeplik

if you do not want to bet on one lab, or if you have hit a per-tier wall somewhere else. 285 models across 53 labs, 900 connected apps and your own document collections are on every paid plan, and a higher plan buys more credits rather than unlocking a feature you assumed you had.

The one row worth checking yourself

Before you pay for any of these, find the page that says what a higher tier unlocks. On most of this list the answer includes capabilities, not just volume: connected apps, saved document libraries and scheduled tasks are each metered per plan somewhere on this page. That is the thing people discover three weeks in, at the moment the task needed it. On Zeplik the tier sets your monthly credit allowance and changes nothing else, which is a claim you can check in about a minute on our pricing page.

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Questions people ask

What is the best AI assistant in 2026?: It depends on one question: do you want one lab's models, or all of them. Claude and ChatGPT each give you their own lab's models, polished, with the newest one first. Perplexity is the best pure answer engine. Zeplik gives you every major lab in one chat with connectors, document collections and automation included on every plan. If you want a terminal coding agent, Claude is the better pick and this page says so.
Which AI assistant gives you the most models?: Zeplik, by a wide margin: 285 models across 53 labs in one chat, switchable mid-conversation. Claude and ChatGPT each serve their own lab's models, which is a deliberate choice rather than a shortcoming, and it is the one difference neither can close without selling a competitor's model.
Which one is best for working with my own documents?: All five will read a file. The differences are how many you can keep and how they are read. Zeplik's collections run from 25 on the entry plan to 500 on the top plan and are cited by the page they came from. Chatly caps knowledge bases at 2, 5 or 25 by tier. Claude offers Projects, capped at 5 on the free tier, and ChatGPT offers Projects from the Plus plan.
Which is cheapest?: Entry paid plans are close: Chatly is $18 billed quarterly, Claude and Zeplik are both $20 a month, and Claude is $17 if you pay annually. The gap opens at the top, where Zeplik is $80, Claude Max starts at $100 and Chatly Ultra is $183 quarterly. All figures were read from each vendor's own page on 2026-10-28.
Where is Zeplik worse than the others?: No terminal coding agent, no single sign-on or audit logs, macOS only on desktop, and we get a lab's newest model when it reaches the API rather than on launch day. If any of those is load-bearing for you, one of the others is the right answer.