ChatGPT Enterprise vs Cresta Comparison
Compare ChatGPT Enterprise vs Cresta features, pricing, and more.
Last updated: November 2026
ChatGPT Enterprise
7.3/10
OpenAI's top workplace tier of ChatGPT, adding agentic work, coding, company knowledge search, and enterprise security and governance controls for large organizations.
Cresta
6.8/10
Cresta is an enterprise contact center AI platform that provides autonomous AI agents, real-time agent assist, conversation intelligence and automated quality management.
Feature-by-Feature Comparison
| Feature | | |
|---|---|---|
| Scores | ||
| Overall Rating | 7.3/10 | 6.8/10 |
| Integration | 8/10 | 7/10 |
| Analytics | 7/10 | 9/10 |
| Customization | 7/10 | 8/10 |
| Ease of Use | 8/10 | 6/10 |
| Support | 7/10 | 6/10 |
| Cost | 3/10 | 3/10 |
| Scalability | 9/10 | 9/10 |
| Security | 9/10 | 9/10 |
| Output Quality | 9/10 | 7/10 |
| Pricing | ||
| Free plan | No | No |
| Cheapest paid plan | Contact for pricing | Contact for pricing |
| Estimated cost for 10 users | Contact for pricing | Contact for pricing |
| Features | ||
| Image Generation | Not listed | |
| AI Agents | ||
| Chatbots | ||
| Voice and Audio | ||
| Knowledge Base Search | ||
| Data Analysis | ||
| API Access | Not listed | |
| Workflow Automation | ||
| Text Generation | ||
| Enterprise Controls | Not listed | |
| Code Generation | Not listed | |
| Custom Model Training | Not listed | |
| Transcription | Not listed | |
Which One Should You Choose?
Why choose ChatGPT Enterprise
- Higher Ease of Use score (8/10 vs 6/10)
- Higher Output Quality score (9/10 vs 7/10)
- Better fit for mid-market (6/10 vs 4/10)
Why choose Cresta
- Higher Analytics score (9/10 vs 7/10)
- Higher Customization score (8/10 vs 7/10)
Pros & Cons
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.
Cresta
Pros
- Gives agents real-time guidance and knowledge answers during live calls and chats, which G2 reviewers single out as a strength.
- Scores and analyses every conversation automatically instead of a manual sample.
- Models are trained on the customer's own conversation data, so guidance reflects the company's own top performers.
- Unusually broad compliance coverage, including SOC 2 Type II, ISO 27001, ISO 27701, PCI-DSS, HIPAA and ISO/IEC 42001.
Cons
- No public pricing, free tier or self-serve trial; buying requires a sales cycle and usually a paid pilot.
- Model training and tuning can take months before the value shows.
- A few G2 reviewers report inaccurate AI suggestions or poor understanding of conversations.
- Generally economical only for contact centers with about 100 or more agents.
