Gemini Code Assist prices itself the way most enterprise Google Cloud products do: a per-user monthly license, a discount for committing annually, and a second, more expensive tier for organizations that need the assistant grounded in their own private code.
Standard costs $22.80 per user per month billed monthly, or $19 per user per month if you commit to an annual term upfront. That gap, roughly 17% off for the annual commitment, is a fairly standard SaaS discount rate, and Google backs both billing options with a 30-day free trial covering up to 50 users, which is generous compared to most competitors’ single-seat trials. What you get at Standard is the full IDE and terminal experience: code completion and generation across supported editors (VS Code, JetBrains IDEs, Cloud Workstations, Cloud Shell Editor), the open-source Gemini CLI for terminal-based agentic work, natural language chat, agent mode for multi-file tasks currently in preview, and a usage metrics dashboard for tracking adoption across your team. Standard subscribers in the Preview release channel also get access to Gemini 3, Google’s current flagship model.
Enterprise roughly doubles the price, $54/user/month monthly or $45/user/month annual, and the jump buys code customization and codebase grounding, not just more usage. Enterprise can be trained on your organization’s private codebases so completions and chat responses reflect your actual patterns rather than generic public-code training data, and it adds local codebase awareness for large-scale, cross-file changes like dependency upgrades or comprehensive code reviews. Beyond the coding-specific features, Enterprise pulls in the rest of Google Cloud’s AI development stack: Apigee integration for API design assistance grounded in your existing API ecosystem, premium Gemini Cloud Assist features for infrastructure design and troubleshooting, and enterprise security controls including VPC Service Controls, granular IAM permissions, and IP indemnification that protects licensed users from copyright-infringement liability tied to AI-generated suggestions.
The security and governance story is consistent across both tiers, which is worth noting since it’s often an Enterprise-only feature elsewhere. Google’s data governance policy states that customer code, prompts, and generated recommendations aren’t used to train shared models or develop other products on either Standard or Enterprise, and Google holds SOC 1/2/3, ISO 27001, 27017, and 27018 certifications that apply to the product broadly, not gated behind the higher tier.
If you’re evaluating Gemini Code Assist right now, there’s a structural change in motion you shouldn’t miss: Google is actively transitioning its unpaid, individual tier away from this product. The Gemini CLI and Gemini Code Assist IDE extensions used by individuals and Google One subscribers under the free/unpaid tier are being replaced by a separate product, Antigravity CLI and Antigravity, starting June 18, 2026. That migration only affects the unpaid tier — the Standard and Enterprise per-seat plans priced above continue as Google’s paid business offering — but if you were evaluating Gemini Code Assist as a free personal tool, that free path is moving to a different product name.
For teams deciding between the two paid tiers, the practical line is whether you need the assistant grounded in your own codebase. If generic code completion, chat, and CLI access across your IDE fleet covers your needs, Standard at $19–22.80/seat is the right starting point, especially given the 50-user trial window to validate adoption before committing budget. Move to Enterprise once code customization on private repositories, large-scale automated refactors, or the VPC-level security controls become requirements rather than nice-to-haves — the roughly 2.4x price jump is deliberate, aimed at organizations where those capabilities offset the added cost through faster onboarding or safer large-scale changes.