Comparison
The short verdict: Grok Bot is xAI's answer to the agent question and a genuinely interesting one - always-on Bots, each messaged like a colleague, working on a persistent cloud computer with a browser, a filesystem and a terminal, signing into your apps the way a person does. That last part is its real advantage: it works where there is no API and no connector. Olano is a different shape entirely - a multi-agent system deployed for a business, with agents living on the channels your customers actually write to, separate memory per customer, trust levels and approval gates, an audit trail, and an isolated deployment of your own. If the work is yours and happens inside apps you are already logged into, Grok Bot. If the work faces your customers and has to be governed, that is the line. The other line is the invoice: Grok Bot is priced per person whichever door you come through, and Olano is priced per deployment, with unlimited people on every plan from $10 a month.
The dimensions that decide the choice - not model benchmarks.
| Dimension | Grok Bot | Olano |
|---|---|---|
| What it is | AI teammates from xAI, in beta since August 2026. Each Bot has its own persistent cloud computer and keeps working after you close your laptop; you message them from the desktop and iOS apps and run several in parallel. | A platform for persistent agents: Olano Core, the multi-agent runtime coordinating agents, tools, memory, channels and safety gates - and Olano Cortex, the improvement engine on top of it - on an isolated deployment per customer. |
| Who talks to it | You and your team. The Bot is a colleague you message; the interface is the Grok apps. | Your customers, as well as your team. One agent runs across 15+ messaging channels - WhatsApp, Telegram, Slack, Discord, email, SMS, Signal, Matrix, Feishu, WeCom, WeChat, DingTalk - plus inbound webhooks. |
| How it reaches your tools | Computer use. It looks at the screen, moves the pointer and types, so it works in apps with no API and no MCP server at all - the strongest thing about the product. | Integrations, deliberately. 450+ connector tools across 75+ built-in integrations, 200+ ready-made MCP servers plus any custom one, with OAuth, health checks and automatic reconnection - and connector tokens held in an encrypted vault, kept out of prompts, files and the model's reach. |
| Separation between agents | There isn't one. Every Bot on your account shares one persistent cloud computer - its files, browser sessions and logins - which is what lets them hand work to each other. xAI's own documentation tells you not to use separate Bots as a security boundary. | Structural. Each customer gets their own deployment; credentials resolve per agent; and a multi-user agent keys each end customer's memory to the authenticated sender on the channel, not to anything the model can be talked into changing. |
| Model choice | Grok, from xAI. A single vendor for the agent and the model underneath it. | 18+ providers - Claude, GPT, Gemini, DeepSeek, Mistral, Groq, Bedrock and xAI among them - mixed per agent and swappable mid-conversation, with bring-your-own-keys on every plan at no surcharge, or open models on your own GPU where nothing may leave the box. |
| Memory | Bots keep context on their computer and pick up your preferences with use. | Four layers: persistent conversation memory, long-term memory distilled from real work by Cortex, a knowledge base grounded in your own documents with the source attached, and skills you teach once. Each end customer's history stays their own, and is erasable on request. |
| Governance | Bots come back to you when something needs a human call, and xAI documents an approvals model for the beta. | Trust levels 0-4, set per agent and per category, from observe-only to autonomous. Outbound sends and financial actions wait for a human until you say otherwise, and every action lands in an append-only audit trail. |
| Improving over time | The Bots get better at your preferences as you work with them. | Cortex reads what the agents actually did on a cadence you set, then proposes memory updates, drafted skills and sharper instructions. Proposals queue for approval, every applied change is snapshotted with one-click undo, and deep runs are capped per day. |
| Where it runs | xAI's cloud, tied to your account. | Olano Cloud, a custom AWS or GCP region, your own infrastructure, or a Private AI plan with open models on a dedicated GPU - from an RTX 4000 Ada up to an H200 - where prompts and documents never leave the machine. |
| Teams and seats | Per person, through either door. Individuals subscribe to SuperGrok; a team that wants central billing, shared analytics and SSO buys Cursor Teams seats - listed at $40 per seat per month on Standard and $120 on Premium, less on an annual commitment. A Teams seat is primarily a coding-tool seat, so equipping five non-engineers means five subscriptions either way. | Per deployment. Unlimited people on every plan, Starter included, with owners, admins and members and control over which agents each person can see and use - so the eighth colleague costs the same as the first, which is nothing. The agents are multi-user too: one agent on one number serving many end customers, each with their own memory. |
| Pricing shape | Not sold on its own - access is bundled into a subscription, each carrying its own usage allowance, with usage past the allowance billed on top of it. SuperGrok runs roughly $30 to $300 a month depending on tier; Cursor Pro and Teams plans are the other route. Enterprise access is by waitlist. | Capacity, not headcount. Olano Cloud from $10/month, a monthly credit allowance for managed model usage (1,000 credits is $1 of usage, top-ups never expire), a hard spend cap agreed in advance, or your own provider keys so the model bill goes straight to you. |
| Maturity (as at September 2026) | Public beta since 11 August 2026: access is limited, features move, and xAI does not yet guarantee stability. That is a snapshot of a product shipping fast, not a permanent judgement - check where it has got to before you weigh this row. | Shipped and operated, with hosting, updates, monitoring and daily snapshots included on every plan. |
The Grok Bot column summarises xAI's and Cursor's published material as read on 5 September 2026, including the June 2026 Cursor Teams seat prices. Plan availability changed once during the beta already - confirm current tiers at x.ai and cursor.com before deciding anything on them.
For a large class of user, Grok Bot is the right answer, and a managed deployment would be an expensive way to get less.
This is the case computer use was built for. A supplier portal, a legacy admin panel, a booking system from 2009 - anything a connector library will never reach, a Bot can simply log into and click through. Nothing on the integration side of the argument beats that.
Research, inbox clearing, a long multi-step chore you would otherwise babysit. One person, one account, one set of consequences - which is exactly the situation the shared-computer design is fine in.
Grok Bot rides along with SuperGrok and Cursor plans on their own usage allowance, so where those are already on the company card, evaluating it costs nothing. That stays true at one or two seats; per-person pricing is what makes it a different calculation at ten.
If the frontier model you rate is Grok, and the work is yours rather than your customers', buying the agent from the same vendor as the model is a perfectly coherent decision.
Personal agent products are optimised for the person holding the account. The differences below start to matter the moment somebody else is on the other end.
An agent answering enquiries on WhatsApp under your business's name is a different product from an assistant you message. Channels, approval gates before anything goes out, and a record afterwards are the product here, not your configuration discipline.
One agent on one business number, serving everyone who writes to it, with each customer's history isolated by authenticated identity and erasable on request. Priya's order history is hers; Marcus never sees it, and neither does anyone who asks nicely.
One shared computer holding every login is a productivity decision, and a defensible one for personal work. When the logins include a payment system and a customer database, separation needs to be a property of the architecture rather than a note in the FAQ.
Model quality moves every few months and vendors change terms. Routing across 18+ providers per agent, bring-your-own-keys with no surcharge, and open models on your own GPU keep that a decision you make repeatedly rather than one you made once.
It is worth being precise about this, because it is the design decision the two products differ on most and it is not a mistake. Bots share one cloud computer so they can hand work to each other: a Bot that researched something leaves the files where the next Bot can pick them up, and a browser session signed into your CRM does not have to be signed into again. That is a real productivity gain, and xAI is admirably direct about the cost, telling users plainly that separate Bots are not a security boundary.
The trade only becomes wrong when the account stops being one person's. A Bot with your credentials on a machine every other Bot can read is a fine arrangement for your own screens; it is the wrong arrangement for a business where the finance login and the customer inbox should not be reachable from the same place.
Olano's answer is that separation is not a setting. Each customer runs on their own isolated deployment rather than a shared tenant; credentials live in an encrypted vault and resolve per agent, not per account; and on customer channels, the memory boundary is the authenticated sender, so one customer's history is unreachable from another's conversation no matter how the conversation is phrased.
None of which makes Olano the better tool for driving a supplier portal that has no API - it is not, and computer use is genuinely the better technique there. It makes it the better place to put work that other people can see the consequences of. Those are different jobs, and the honest recommendation is often to use the right product for each.
The second structural difference is the invoice, and it follows from the first. A Bot belongs to an account, so the price follows headcount. An individual reaches Grok Bot through a SuperGrok subscription; a team that wants central billing, shared analytics and single sign-on reaches it through Cursor Teams seats, listed at $40 a seat per month on Standard and $120 on Premium. There is no way to buy Grok Bot on its own at any price.
For a coding tool that is entirely reasonable - a seat really is a person, and the person really is using it all day. The awkwardness is that the same arithmetic then applies to the colleague who only wanted an agent to chase invoices. Ten people is ten subscriptions, whichever door you use, and a Teams seat is a coding-tool seat whether or not the tenth person writes code.
Olano is priced the other way round, because an Olano agent belongs to a deployment rather than to a login. Every plan carries unlimited people - Starter at $10 included, not as a higher tier - with owners, admins and members, and per-person control over which agents each colleague can see and use. Adding the eighth colleague costs nothing, because what you are paying for is the machine and the model usage, not the headcount.
The same property runs one level further out, which is the part that has no equivalent on the other side: the agents are themselves multi-user. One agent on one business number serves every customer who writes to it, keeping each person's history separate and erasable, keyed to the authenticated sender. So "more people" means both more staff and more customers, and neither one changes the plan price.
Being fair about it: at one or two people, Grok Bot on a subscription somebody already pays for is cheaper than any Olano plan, and we would say so on the call. The crossover arrives quickly, and it arrives sooner the less technical the team is.
No, and the names cause a lot of confusion. @grok is the reply bot that answers when people mention it in a public thread on X - a consumer feature, in the open, with no relationship to your systems. Grok Bot is xAI's agent product: always-on Bots with their own cloud computer that you message from the Grok apps. This page compares the agent product, because that is the one a business would weigh against a deployment.
Yes. xAI is one of the 18+ providers Olano routes across, so an agent can run on Grok exactly as it can run on Claude, GPT, Gemini, DeepSeek or an open model on your own GPU - chosen per agent, swappable mid-conversation, and with bring-your-own-keys at no surcharge on every plan. Liking xAI's models is not a reason to accept a particular deployment shape.
Plenty of teams should. Grok Bot is strong at driving the screens you personally sit in front of, especially in apps that expose no API. Olano is the system your customers write to. They are not competing for the same slot, and Olano speaks MCP and takes inbound webhooks, so a mixed stack is a legitimate end state rather than a failed migration.
Grok Bot is priced per person however you buy it, so eight people is eight subscriptions: eight SuperGrok plans at roughly $30 each, or eight Cursor Teams seats at the listed $40 on Standard or $120 on Premium per seat per month - and a Teams seat is a coding-tool seat, whether or not all eight write code. Olano is priced per deployment: unlimited people on every plan, so the same eight colleagues sit on one plan from $10/month with owners, admins and members and per-person control over which agents each can use. The comparison is not like for like - Cursor seats buy a coding tool too - but the shape is the point, and it is why the two curves cross so quickly as a team grows.
Yes, from Starter at $10/month. Unlimited people is a property of every plan rather than a tier upgrade, and it works in both directions: your staff get their own logins with roles and per-agent visibility, and the agents themselves are multi-user, so one agent on one business number serves every customer who writes to it while keeping each person's memory separate, isolated by authenticated identity and erasable on request.
Every Bot on an account works on one persistent cloud computer and shares its files, browser sessions and logins, which is what lets Bots hand work to each other. xAI's own documentation is unusually direct about the consequence and tells you not to use separate Bots as a security boundary. For personal work that is a reasonable trade; for customer data, staff separation or anything with a compliance question attached, isolation has to be structural rather than a habit.
They were summarised on 5 September 2026 from xAI's published material. Grok Bot entered beta in August 2026 and its plan availability has already changed once, so treat the pricing here as an order of magnitude and confirm at x.ai before deciding anything on it.
Other comparisons, and the patterns behind them.
A general-purpose AI workspace against a platform for agents on your business channels.
The other big-company always-on agent, and why a personal agent is not a business's agent.
Two systems that learn from real work - one personal and local, one governed and deployed.
The buying checklist: channels, approvals, audit trails, spend caps, BYOK and isolation.
Why a system should route each task to the model best suited to it, and never be welded to one provider.
Checked 5 September 2026 against the vendor's own published material: Grok Bot, xAI and its beta documentation. Comparisons go out of date - if we have described your product wrongly, write to support@olano.ai and we will correct this page.
If it is your own screen work in an app with no API, we will tell you to point a Bot at it. If it is a customer channel that has to be governed, we will map the workflow and quote before we build.
