ChatGPT Enterprise vs Gemini Enterprise Comparison

C

Why choose ChatGPT Enterprise

• Higher Analytics score (7/10 vs 6/10)
• Higher Ease of Use score (8/10 vs 7/10)
• Better fit for developers (7/10 vs 5/10)

Why choose Gemini Enterprise

• Higher Cost score (5/10 vs 3/10)
• Better fit for small business (6/10 vs 2/10)
• Better fit for startups (5/10 vs 2/10)

C

ChatGPT Enterprise

Pros

• The enterprise governance set goes well beyond the Business plan, including SCIM, custom RBAC, customer-managed encryption keys on AWS, GCP, or Azure, and a compliance logs API.
• Data residency across multiple regions and HIPAA BAA eligibility make the plan usable in regulated industries.
• One seat bundles chat, deep research, image generation, voice, the ChatGPT Work agent, and Codex, so teams don't need separate AI tools for each task.
• Admins can set monthly per-user credit limits, overage caps, and alerts to govern agent and Codex spending.
• Connectors for Microsoft 365, Google Drive, Slack, and GitHub let company knowledge search answer questions from internal data.

Cons

• There is no public pricing. Per-seat figures come only from third-party estimates, and contracts are negotiated case by case.
• Usage-based charges for Work and Codex, with multipliers for long context, fast mode, and regional processing, make total cost hard to predict.
• The reported 150-seat minimum and annual commitment exclude smaller teams.
• Compliance logs for Work keep prompts for only 30 days and are not a full audit trail of tool calls, so a separate SIEM export is needed for longer retention.
• PeerSpot reviewers report context limits on very long documents and want finer per-team control over tone and response constraints.

Gemini Enterprise

Pros

• Permission-aware search across connected company apps, with grounding in Google Search and the web
• Strong security controls on the higher editions: CMEK, VPC Service Controls, US or EU data residency, Access Transparency and Cloud Audit Logs
• Google states that enterprise prompts and data are not used to train its foundation models
• Standard and Plus scale without seat caps and include an Agent Marketplace and a no-code agent builder
• Tight fit with Google Workspace, which G2 reviewers praised

Cons

• Business edition has only selected connectors and no agent builder or marketplace
• Several prices, including Plus and Frontline, are not published by Google
• Usage beyond quotas, partner models and developer tools are billed separately, so costs are hard to predict
• Memory is per user, and Google's docs say source changes can take up to 24 hours to take effect
• G2 has only a small number of reviews, and one reviewer said memory seemed shorter after an update