Best AI assistants for work in 2026, by what you can buy and predict

What this guide does not measure

Three things, and saying so is the point rather than a disclaimer:

• Model quality. We have run no benchmark. Nothing here says which assistant reasons better, writes better or hallucinates less.
• Vendor benchmarks. We do not republish them. A score a vendor produced about its own product is marketing, whatever its methodology section says.
• Hands-on use. No profile behind this guide records a documented test, and each one says so. An earlier version of this page claimed capability judgements came partly from “our own use” - nothing in this publication supported that, and it has been removed.

What is left is still most of the decision, and it is checkable: what a seat costs, whether there is a business tier you can price, what the vendor will tell you about limits, and what the free tier gives you. Read the entries for the qualitative differences; read the tables for the ones you can verify.

Almost nobody publishes what a tier allows

This is the finding of re-reading all eight pricing pages, and it is worse than we described it last time.

Assistant	How paid allowances are described
Mistral	150 flash answers a day on Pro, 200 on Team - plus “up to 40x more image generations”
Perplexity	10,000 monthly credits on Max
DeepSeek	Exact per-token API rates; nothing published for the free assistant
ChatGPT	“Limited messages with uploads”, “expanded access”
Claude	“Choose 5x or 20x more usage than Pro”
Google Gemini	“2x”, “4x”, “5x” and “20x” the free plan’s limits
Microsoft Copilot	“File uploads (limits apply)”, with no figure anywhere
Grok	“Generous limits”, “higher rate limits”, “significantly higher usage”

The previous version of this guide singled Gemini out for this and scored it 3 out of 10 on price transparency while its rivals scored 8 and 9. That was unfair, and reading every page in one sitting is what showed it: six of the eight publish no absolute figure at all. Gemini’s multiples are at least explicit multiples. The rubric above now treats the practice as the industry norm it is, and rewards the two vendors who partly break with it.

The practical consequence for you: on six of these eight products you cannot tell whether a tier covers your usage until you are inside it. Plan for that by starting on the middle tier and measuring, as below.

What a seat actually costs across the field

The cost model above is the individual tier multiplied out. The business tiers matter more for a rollout, and they are not the same figures:

Assistant	Individual paid tier	Business or team seat
DeepSeek	None; the assistant is free	None published
Mistral	$14.99/month	$24.99/user/month
Claude	$200/year up front, or $20/month	$20/seat/month billed annually
Google Gemini	$19.99/month	Frequently included in Google Workspace
ChatGPT	$20/month	Business tier exists; seat price not readable
Perplexity	$20/month	Enterprise, quote-only
Microsoft Copilot	Copilot Chat is free	$18-$21/user/month paid yearly
Grok	$30/month	Team tab exists; no readable price

Two of the eight will not tell you what a seat costs, and one has no business tier at all. That is a real procurement finding, and it is why the rubric weights the business route as heavily as price.

The four questions that actually decide this

What do you already pay for? Microsoft Copilot and Gemini arrive inside estates most companies already license. Buying consumer subscriptions for staff who already have access through work is the most common waste in this category, and it is invisible on an expenses line.

How long are your inputs? If you routinely work with contracts, research sets or large codebases, long-context handling is the feature that matters and Claude is what people buy for it. Models with smaller effective context lose the middle of long documents, and the failure is hard to spot because the answer still reads well.

Do you need to show your working? Perplexity answers with openable sources. For anything you will be asked to justify, that is a different category of usefulness from a confident paragraph.

Who is buying, you or your company? If it is your company, the answer is a business tier with an admin console, not a pile of personal subscriptions on expenses - and on this page only four of the eight publish a per-seat price you could put in a budget.

Usage limits, not capability, are what the upper tiers sell

The most common overspend here is buying a top tier for capability the middle tier already has. Across these products the pattern is consistent: the jump from free to paid buys the stronger models, and the jump from paid to premium buys more of them. Claude Pro to Max, ChatGPT Plus to Pro, Gemini’s ladder, SuperGrok to SuperGrok Plus - all four are principally about volume.

Since six of the eight will not tell you what that volume is, measure your own. Before upgrading, spend a fortnight recording two numbers:

• Sessions per working day, where a session is a distinct task rather than a message.
• How often you were actually stopped - a limit message, a forced model downgrade, or a wait.

If you were stopped fewer than two or three times in the fortnight, the upgrade buys you nothing you noticed. If you were stopped most days, the upgrade is cheaper than the interruption. People consistently over-estimate the first number and under-record the second, which is why the fortnight of notes beats the intuition.

The same logic runs the other way for teams: buying everyone the premium tier because three power users hit limits is how per-seat costs double for no gain. Buy the middle tier by default and upgrade the individuals who can show you the interruptions.

Before rolling one out across a company

A company-wide deployment is a procurement decision, not a subscription. Six things are worth confirming in writing before the first invoice, because retrofitting any of them is painful:

1. Is workspace content excluded from model training by default? Business and team tiers generally are, and consumer tiers generally are not. This is the single biggest reason not to expense individual subscriptions.
2. What is the retention period, and can you set it? “Not trained on” and “not stored” are different promises.
3. Is there an admin console with SSO and provisioning? Without it, offboarding a leaver means hoping they used their work email. Microsoft Copilot inherits this from Entra; DeepSeek publishes none of it.
4. Are there audit logs? If you will ever need to answer “who put what into this tool”, you need them from day one; they are not retrospective.
5. What happens to workspace content if you cancel? Ask specifically about export format and the window you have to do it in.
6. Where is data processed, and is a data processing agreement available? For regulated industries and most of Europe, this determines whether the tool is usable at all. Mistral publishes a data processing addendum and EU-specific consumer terms; several others publish nothing you can read from a pricing page.

The failure mode worth naming: staff who need a tool that procurement has not approved will use the free consumer version with their personal account, and paste work data into it. That is a worse outcome than any tier you could have bought. If a rollout is going to take three months, say so and give people an approved interim option rather than a prohibition they will route around.

Tools that are not assistants, and still worth having

• Grammarly - $12 a month, and nothing else appears inside Gmail, Word, Slack and a CMS text box without changing how you work. It corrects and adjusts tone; it does not reason about a document. We ranked it here until this version, which flattered it and misdescribed it.
• GitHub Copilot - a coding tool, priced and evaluated on different ground from a general assistant.
• Notion AI and other in-product assistants - features of a tool you already pay for. Check what your existing subscriptions include before adding a seat here; that check pays for itself more often than any comparison on this page.

What changed in this version

Five products became eight. Microsoft Copilot sat in the previous version’s “also considered” list as “not yet verified against a current pricing page”, which left the assistant most likely to be already licensed inside a reader’s company entirely unpriced. Mistral, Grok and DeepSeek were absent for the same reason. Grammarly moved below the ranking, because a writing checker is not an assistant and the old page said as much in its own entry.

Two things were removed rather than added. The claim that capability judgements came from “our own use” is gone: no profile in this catalogue records a documented hands-on test, so the claim had nothing behind it. And the 25% “Reasoning and instruction following” dimension is gone, because scoring one product 10 and another 5 on reasoning implies a measurement nobody here performed - which is exactly the error that methodology exists to prevent. Removing it is what moved Claude from first to sixth, and the rubric note says so plainly.

One correction: Perplexity Pro is $20 a month. Its profile carried $17 on annual billing from a page that once showed only an annual rate, and that figure disagreed with this guide’s own cost table. The page now publishes a single monthly figure, and both have been fixed.

What is still missing is stated rather than implied. We have benchmarked nothing. ChatGPT’s and Grok’s team seat prices could not be read. Amazon Q and the other cloud-vendor assistants are unpriced. All of that is on the list.