AI and automation

Gemini Code Assist by Google: Review and Pricing

Multifaceted glowing icon in the corner of a code editor

Google promotes Gemini Code Assist as a developer assistant within familiar editors — an extension with autocomplete, code generation, and chat, so you don't have to switch to a separate app. Behind the recognizable brand lies a product that is more tightly integrated than it might seem at first: it is part of the Google Cloud ecosystem, and a significant share of its practical value is only unlocked when paired with cloud services, rather than working as a standalone plugin equally useful to any developer.

Figuring out exactly who this tool is for and how much it costs has gotten harder over the past year: the individual free tier is gone, and Google has changed its terms of use several times in a row. Below — how Gemini Code Assist is set up now, how much it costs a team, and what to check before adding it to your project.

What is Gemini Code Assist and how it works

Technically, it's an extension that integrates into familiar development environments: VS Code, the JetBrains family (IntelliJ, PyCharm, WebStorm, GoLand, Rider, RubyMine, PhpStorm), Android Studio, Cloud Shell Editor, and Cloud Workstations. Inside — a standard set of features for such tools: autocomplete and code generation, AI chat about project code, and local codebase awareness, meaning suggestions take into account not just the open file but the context of the rest of the repository.

A separate part of the product is integration with Google Cloud services. On the Standard plan, this includes Firebase, BigQuery, Colab Enterprise, and Cloud Run: the tool helps you work with this infrastructure right from the editor without switching to the console. On Enterprise, Apigee, Application Integration, Gemini Cloud Assist, and model customization on the company's private repositories are added. This tight tie to Google Cloud is what sets Gemini Code Assist apart from assistants that are equally useful regardless of which cloud the team uses.

Multifaceted glowing icon in the corner of a cloud dashboard

Who it's really for

The tool brings the most value to teams that already have Google Cloud as part of their stack: if the backend runs on Cloud Run, data lives in BigQuery, and the mobile app is built in Android Studio, AI integration right in the editor eliminates some of the switching between services. For such teams, Gemini Code Assist isn't a separate purchase just for an AI assistant, but a logical extension of the Google Cloud infrastructure they're already paying for.

For a freelancer or a small team without Google Cloud, the picture is different. The project stack might not overlap with Google services at all, leaving some of the tool's features unused, while you still have to pay for a per-user subscription. This niche used to be covered by the free individual plan, but it's gone now — and that's worth keeping in mind before anyone promises a client a “free AI assistant from Google” as part of a project.

Silhouette of a server rack next to a laptop on a desk

How much it costs and what happened to the free plan

Right now, Gemini Code Assist is only sold via two paid plans through Google Cloud, both on a per-user subscription basis. Standard costs about $19 per month per user with annual billing, or about $22.80 with monthly billing. Enterprise is about $45 per month and adds customization for the company's private repositories and broader integrations with internal systems.

On June 18, 2026, Google completely shut down the free individual plan for Gemini Code Assist along with the free version of Gemini CLI. Those who used them for free were redirected to a separate product, Antigravity — an agentic development environment and CLI that is currently free in public preview but runs on reduced limits for the Gemini 3 Pro model: since its launch in November 2025, Google has already tightened these quotas several times.

A fair caveat: this probably isn't the last time Google will change its terms anytime soon. If Gemini is being offered to a client as part of a solution, the pricing and plan details should be double-checked right before the project kicks off, rather than relying on numbers from this or any other six-month-old article.

Dimmed crossed-out label next to an active one on a screen

How to evaluate this kind of tool in practice

When choosing between Gemini Code Assist and other AI tools for development, you shouldn't just rely on the recognition of the Google brand. There's only one practical question: does the team's actual stack — cloud, IDE, languages — overlap with what the tool supports natively? If there's almost no overlap, the advantage over more versatile assistants turns out to be small, while the subscription price is no different from the competition.

And separately, it's worth remembering something that doesn't depend on the chosen tool: generated code still needs to be reviewed — for correctness, security, and alignment with the project architecture, not just whether it runs without errors. No AI assistant, including tools from Google, removes this part of the responsibility from the person delivering the work.

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Clean cloud dashboard with a green integration checkmark

Frequently asked questions

Can you use Google's AI for coding for free right now?

Under the name Gemini Code Assist — no: the individual free tier was discontinued on June 18, 2026. Instead, Google offers a separate product called Antigravity, which is free during its public preview but comes with limits on the Gemini 3 Pro model that are gradually being tightened.

Is it worth switching to Gemini Code Assist to save on team costs?

You will only see savings if Google Cloud is already part of your company's tech stack — in that case, the tool seamlessly integrates into infrastructure you are already paying for. If your stack doesn't overlap with Google services, a separate Standard or Enterprise subscription will likely cost more than the value it delivers.

Does a paid subscription to an AI tool mean you can skip reviewing the code before delivery?

No. The fact that a tool is paid doesn't change the need to review generated code for security and task requirements — this part of the job remains the developer's responsibility, regardless of which AI tool they used.

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