Databricks Genie Code Pricing: The Real Cost of Agentic AI

In March 2026, Databricks officially replaced Databricks Assistant with Genie Code. This may seem like a name change, but it's actually a new assistant that runs in agent mode.

New features, new costs. In this article, we'll explore Genie Code pricing. We'll also look at when it can be free and when it can exceed the stated price.

The main difference between cloud solutions is that enabling a new feature often incurs additional costs. I've already written several articles about the cost of Databricks. And I was curious about the cost of using Genie Code.

Unfortunately, there's currently no convenient expense monitoring dashboard that would show exactly where money is being spent. There are only a few dashboards, but they provide a very high-level overview. However, if you're interested, you can find everything you need in Databricks Logs or system tables.

I ran some experiments with running Genie Code, and here's what the billing showed.

Experiment 1: Running Genie Code to write a text article.

I tried actively using Genie Code for 10 minutes without searching the Unity catalog or running queries. I asked him to write an article. It was clear he'd been poring over some Databricks documentation and wrote a 14,955-character article:

From the logs (system.access.assistant_events), it is clear that during this time, it managed to create 15 events, and all of this was almost free:

Experiment 2: Running Genie Code to write a script.

During the second experiment, I asked him to write a script, and he came up with a plan:

I also performed selections from tables and analyzed the results:

The experiment lasted 30 minutes, including adjustments, and, according to the logs, 79 events occurred.

In Databricks, all costs are displayed as DBU per hour, and we calculate the cost based on the pricing. When Genie starts, a separate cluster of the **PREMIUM_ALL_PURPOSE_SERVERLESSCOMPUTE* type is launched, and its cost is currently approximately $0.75 per DBU**, depending on the region and cloud provider.

But in the end, the amount was approximately equal to 2 DBU:

After analyzing the detailed logs (system.access.audit), which contained over 900 events during this period, I found an interesting line:

{
  "virtual_cluster_size":"VirtualMedium",
  "billing_info":
    {"context":
      {
        "notebook_name":"/Users/myuser@gmail.com/.conversations/___DBCONVERSATION___(): Databricks ...",
        "notebook_id":"935626676034490"
      }
     },
     "custom_tags":{"NotebookId":"935626676034490"},
     "cluster_creator":"REPL_LAUNCHER",
     "kind":"SERVERLESS_REPL_VM",
     "autotermination_minutes":"15",
     "idempotency_token":"serverless-***********************",
     "platform_channel":"CLIENT-4"
}

Now we see that Genie Code spun up a separate VirtualMedium-sized cluster with an autotermination_minutes setting of 15 minutes to fulfill queries.

The tracking problem.

When I was running the experiment, I didn't run anything on Databricks that day except Genie Code to find its billing.

Currently, billing shows that the cluster was launched by the user themselves, not Genie Code. Unfortunately, the cost breakdown doesn’t include any additional labels or tags. If your company uses clusters with tags and cost centers, you’ll need to add more users to accurately distribute them among teams.

Quite a big change coming to Databricks Genie. Starting July 6, 2026, Genie product usage beyond the free monthly allowance will move to pay-as-you-go billing. The usage is billed based on underlying LLM usage in DBUs, and budgets can be set up to track/control spend. (learn.microsoft.com)

The transition from Assistant to Genie Code is a huge leap in productivity. Business users gain independence from data engineers for basic analytics, and engineers are freed from writing routine ad-hoc queries.

However, when an Agent appears instead of copying code from the Assistant, and can radically change your script, you need to be able to work with version control. Fortunately, Databricks already has built-in versioning for Notebooks, but it's best to connect to GitHub and commit successful scripts. Also, remember that if you give the Agent complete freedom, it can delete data in tables, jobs, and so on, or create a script that wastes your budget. It's a handy assistant that requires control.

In my opinion, if you don’t run the cluster from the Genie Code, then it’s almost free. It’s a very cool assistant. Subscribe to stay up to date.