Gemini Enterprise Alternatives: Competitors, Pricing and Which One to Buy

There are seven serious ones, and they split into three groups that buy very differently.

Direct seat-for-seat rivals. Microsoft 365 Copilot is the only product that competes with Gemini Enterprise on the same terms: a per-seat assistant grounded in your company's own documents and mail. ChatGPT Enterprise sits here too. OpenAI publishes no seat price for it, only the usage side (a rate card that works out to $0.04 per credit), so any per-seat number you see quoted came from a sales conversation rather than a price page. Our ChatGPT Enterprise pricing breakdown converts the published half into dollars.

Platform-and-consumption rivals. Microsoft Copilot Studio, Amazon Quick and Salesforce Agentforce all sell you the ability to build and run agents, metered by usage rather than by headcount. These win when a small number of people need a large amount of automation, and lose badly when the reverse is true.

Suite-bundled agents. SAP Joule and Oracle's Fusion agents are not really products you can buy on their own. They come with a RISE or GROW with SAP contract, or with Oracle Fusion Cloud applications. If you already run those suites they are close to free at the margin. If you do not, nobody sensible buys the suite to get the agents.

Glean is its own case: an independent enterprise search and agent layer that connects to everything and belongs to no cloud. It is the usual choice for organizations that are genuinely split across Google, Microsoft and everything else, and it is priced accordingly.

This is the comparison most buyers are actually running, and the headline prices mislead in Microsoft's favor.

Google lists Gemini Enterprise Business at $21 per seat per month, and its own page describes it as being for small businesses and teams with "no IT setup needed". It is a standalone subscription. Standard and Plus, aimed at organizations that need enterprise-grade IT controls, start at $30 per seat per month.

Microsoft 365 Copilot is $30 per user per month on an annual commitment, but it is an add-on. The seat must already hold a qualifying Microsoft 365 license, which you are paying for separately. So the honest comparison at the entry point is $21 all-in against $30 plus a base plan, and the gap is far wider than the $9 the price pages suggest.

Microsoft's answer to that is that most enterprise buyers already own the base plan, which is fair. If your organization is already standardized on Microsoft 365, the marginal cost of Copilot really is $30, and the integration into Outlook, Teams and Excel is deeper than anything Google can do inside Microsoft's own applications. The reverse is equally true on Workspace.

The tiebreaker is usually not the assistant at all, it is where your documents live. Both products are only as good as their grounding, and both are strongest against their own cloud's data.

Note the last two rows, because they are where the Business edition stops being a like-for-like Copilot substitute. If agents are the reason you are buying, Business is not the tier you want.

This is the most expensive mistake in the Gemini Enterprise line, and it is easy to make because the marketing page groups Standard and Plus together under one "starting at $30" price.

Google's own editions documentation lists every capability row for all five editions. Read it carefully and two things fall out.

First, Business is the only edition locked out of the Agent Marketplace. Standard, Plus, Pay-as-you-go and Frontline all carry a check on that row. The gate sits at the bottom of the ladder, not near the top. Standard is the floor for agents, and the same is true for the full data connector ecosystem, Gemini Code Assist Standard, Data Insights, enterprise-grade security and compliance, and the ability to run your own full-code agents. Business is missing all of them.

Second, and more usefully, Standard and Plus carry an identical check on every single capability row Google documents. There is no feature on the list that Plus has and Standard does not. The only difference Google publishes is pooled storage and data indexing: 30 GiB per seat on Standard against 75 GiB on Plus.

So if someone has told you that you need Plus to reach the Agent Marketplace, that is wrong, and at roughly $50 a seat against $30 it is wrong by about $20 per user per month. Anyone buying Plus is buying storage. That is a perfectly good reason to buy it if you are indexing a lot of data, and no reason at all otherwise.

One small inconsistency worth knowing before you sign: Google's editions documentation puts Business at 1 to 500 users, while the Gemini Enterprise product page describes the same edition as 1 to 300 seats. If your headcount sits between those numbers, get the range confirmed in writing.

Buyers confuse these constantly, and Google's naming does not help. They solve different problems and are bought by different people.

Gemini Enterprise is a finished application. You buy seats, connect your data sources, and people use it. The no-code agent builder is aimed at business users, and the Agent Marketplace exists so nobody has to build anything at all.

Vertex AI is the developer platform underneath. You buy consumption, not seats, and an engineering team builds against it. There is no assistant to hand to your finance department at the end of it, only what your developers ship.

The practical test: if the person asking for it cannot write code and wants an answer this quarter, they want Gemini Enterprise or a ready-made agent. If you have a platform team and a specific product to build, Vertex AI is the cheaper and more flexible foundation. Paying for Gemini Enterprise seats to get at model access is expensive, and building on Vertex AI to recreate enterprise search is a project measured in quarters.

The same logic separates Copilot Studio from Microsoft 365 Copilot, and Amazon Quick from Bedrock. Every major cloud now sells both an application and a platform, and mixing them up is the single most common sizing error we see.

Both of these are consumption-shaped, and both hide a number that decides the bill.

Amazon Quick (AWS dropped the word "Suite", so the product now lives at aws.amazon.com/quick) lists Professional at $20 per user per month, which reads cheaper than Gemini Enterprise Standard. It is not, on small teams. Professional and Enterprise both carry a flat $250 per account per month infrastructure fee. Spread across ten seats that is $25 a head, taking the real cost to $45 per user, more than double the Gemini Business price and half again on Standard. The fee only falls below 10% of the bill somewhere north of 125 seats. Amazon Quick gets genuinely competitive at scale and is poor value below about 25 users.

Salesforce Agentforce asks you to choose a meter, and will not let you change your mind cheaply. Flex Credits run $500 per 100,000, which is $0.005 each, and one agent action costs 20 credits, so $0.10. Conversations are billed at $2.00 each and only for customer-facing work. The break-even between the two is exactly 20 actions per conversation, and Salesforce states that Flex Credits and Conversations will not be supported in the same org. That is a one-way door, so model it before you pick. On seats, the $5 per user metered license and the $125 per user unmetered add-on cross over at 1,200 actions per user per month, roughly 57 per working day.

One detail that favors Microsoft here and is worth knowing: unused Agentforce Flex Credits do not roll over, and the clock is annual. Copilot Studio credits also expire, but monthly, which is a much easier commitment to size correctly.

Neither of these is really a Gemini Enterprise substitute unless your work already lives in Salesforce or AWS. They are automation platforms that happen to include an assistant, where Gemini Enterprise is an assistant that happens to include automation.

Glean is the strongest independent alternative and the most expensive. It does not publish list pricing. The most reliable public number is Vendr's, drawn from 174 recorded purchases, which puts the median contract at $98,890 a year. Enterprise Flex combines seats with pooled FlexCredits, and a single agent run consumes roughly 7 credits at the median and about 114 at the 90th percentile, so the tail is long and worth capacity planning for. Glean earns its price in one specific situation: a company genuinely split across Google, Microsoft, Slack, Atlassian and Salesforce, where any cloud-native assistant would only see a third of the data.

ChatGPT Enterprise has no published seat price, which by itself tells you the shape of the deal, although OpenAI does publish the usage side: a shared credit pool bought at the contract level and a dollar rate card for new usage-billed contracts. It is the strongest general reasoning product on the list and the weakest at permission-aware grounding in your company's file estate. If your use case is thinking rather than retrieval, it competes well; if it is "find what we already know and act on it", the cloud-native products are ahead.

SAP Joule and Oracle should be evaluated only if you already run the suite. SAP gates Joule to RISE and GROW contracts and meters agent work in AI Units at roughly $0.08 to $0.18 per action; production usage still sits at around 3% of SAP's customer base, so you would be early. Oracle bundles its Fusion agents into Fusion Cloud applications at no separate charge, which is the most buyer-friendly model on this page, and also the least portable. Both are excellent inside their suite and irrelevant outside it.

Every option above asks you to buy a platform first and find the value afterwards. That is the right order when you want an assistant on every desk. It is the wrong order, and an expensive one, when what you actually needed was two or three agents doing specific jobs.

Per-seat platforms scale with headcount whether or not people log in. A 200-person company on Gemini Enterprise Standard is committing to $72,000 a year before anyone has automated anything, and the same company on Microsoft 365 Copilot is at $72,000 plus base licenses. Adoption studies keep landing in the same place: roughly 15 million Copilot licenses against about 450 million Microsoft 365 seats, so around 3.3% attach. Most organizations are paying for far more assistant than they use.

The other route is to buy the agent, not the platform. Pick the specific job (invoice coding, ticket triage, lead research, contract review), deploy an agent that already does it against the systems you already run, and pay for that. There is no account fee, no base license, no edition ladder and no credit expiry to model. If it works, add another. If it does not, you have not signed a three-year platform contract.

That is what this marketplace is for. Browse by category above, check the integrations against your stack, and deploy the one that matches the job you were going to buy a platform to solve.