ChatGPT Enterprise vs Gong: Complete Comparison (2026)

C

Why choose ChatGPT Enterprise

• Higher Ease of Use score (8/10 vs 6/10)
• Higher Cost score (3/10 vs 2/10)

Why choose Gong

• Higher Analytics score (9/10 vs 7/10)

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.

Gong

Pros

• Reviewers widely rate its transcription and conversation analysis depth as best in class.
• It has broad security attestations, including SOC 2 Type 2, ISO 27001, 27701 and 42001, plus bring-your-own-key encryption.
• AI agents, including custom ones built in Agent Studio, come with licenses at no extra cost.
• MCP connections let Microsoft Copilot, Salesforce Agentforce and HubSpot Breeze use Gong data.
• It rates highly on review sites, with roughly 4.7 to 4.8 on G2 across more than 6,000 reviews.

Cons

• There is no public pricing, and a mandatory platform fee sharply raises per-user cost for small teams.
• Reviewers report two to three year contracts, seats that cannot be reduced, and steep early termination costs.
• The interface and search can feel complex, and some reviewers describe a steep learning curve.
• Reviewers say the API lacks bulk export, which makes it hard to move their data out.
• The Engage and Forecast modules get weaker reviews than the core product, and some customers add Clari for forecasting.