ChatGPT Enterprise
One model family from one vendor, on OpenAI infrastructure, sold per seat with a minimum commitment. Polished and powerful for large, OpenAI-committed organizations — but priced for Fortune 500 procurement.
Platform comparisons · 2026 The enterprise AI landscape,
The enterprise AI landscape,
compared honestly.
Grengin is the open-source, multi-model option, fully managed by us. Governance built in; flat plans from $20/month for teams up to 10 people, with 2 months free on Starter, no credit card needed. Here's how it stacks up against three enterprise alternatives. All figures in USD.
Open source Multi-model No minimums, no markup Managed for you Live in minutes
Jump to a head-to-head
From LibreChat to ChatGPT Enterprise: The Enterprise AI Landscape
Before picking a tool, it helps to understand what you're actually buying. Each of these solves a different problem, and the right answer depends on your stack, your budget, and how much you want to run yourself.
Microsoft 365 Copilot
AI woven into Word, Excel, PowerPoint, Outlook, and Teams, grounded in your Microsoft Graph. Hard to beat for in-Office work — if your whole stack and identity already run on Microsoft.
LibreChat
A capable, MIT-licensed, multi-model project you assemble and host yourself. Excellent extensibility and the freedom of running everything on your own infrastructure — if you have the DevOps capacity to operate it.
Grengin Where Grengin fits
An open-source, multi-model platform with cost analytics, usage caps, PII detection, and audit logs built in — run for you by Grengin on managed, isolated infrastructure. Sign up and invite your team in minutes, with no infrastructure to own. Over 100 people, or need dedicated hosting or your own cloud account? Talk to us about Enterprise.
At a glance: Grengin vs the field
The dimensions that decide most enterprise AI evaluations — software model, where it runs, model choice, pricing, speed, governance, and who can see your data. Grengin is shown as the managed service, run for you by Grengin.
| Dimension | Grengin | ChatGPT Enterprise | Microsoft 365 Copilot | LibreChat |
|---|---|---|---|---|
| Software model | Open source | Proprietary | Proprietary | Open source (MIT) |
| Where it runs | Grengin's shared infrastructure (Starter, Team and Business); dedicated or in your own cloud account on Enterprise | OpenAI infrastructure | Microsoft cloud only | Your own servers (you assemble the stack) |
| Models | OpenAI, Anthropic, Google Gemini, Mistral, Groq, Cerebras | OpenAI only | OpenAI via Azure (+ selective Anthropic) | Broad — any OpenAI-compatible endpoint |
| Multi-model in one chat | Yes | No | No | Yes |
| Pricing model | Flat plans by team size: $20, $50 or $150/month (up to 10, 30 or 100 people), plus LLM providers | ~$60 / user / mo, 150-seat min (typical) | $30 / user / mo + qualifying M365 license | $0 software; you fund hosting, DevOps & gateway |
| Prerequisites | None — sign up and invite your team | OpenAI commitment | M365 license + Entra ID + Office estate | DevOps team + 5-service stack |
| Time to first user | ~2 minutes | Days to weeks | Weeks (tenant rollout) | 30 minutes to days |
| Built-in governance (cost caps, PII, audit export) | In the box | Partial | Via Purview (E3/E5) | Add a gateway |
| Vendor in the data path | Yes — we operate the app Grengin is not in the data path if you host it on your own server. | Yes | Yes | No |
| Best for | Teams wanting governed multi-model AI with zero ops and the fastest start | Large, OpenAI-committed enterprises | Microsoft-native teams; in-Office AI | Teams with DevOps capacity who want to build |
LLM usage is paid to OpenAI, Anthropic, Google and others at provider rates on every platform — via your own API keys, at provider cost. Figures reflect typical 2026 deployments; see each comparison for the full methodology.
Deep Dive: Grengin vs ChatGPT Enterprise, Copilot & LibreChat
Each page is an honest, section-by-section breakdown — capabilities, models, security, privacy, integrations, governance, pricing, and deployment — plus a step-by-step migration guide.
ChatGPT Enterprise
Grengin vs ChatGPT Enterprise
Best for: large, OpenAI-committed enterprises that want a polished single-vendor assistant.
OpenAI's enterprise tier bundles the current GPT family, unlimited usage, SSO, SCIM, and strong certifications into a per-seat subscription — typically around $60 per user per month with a 150-seat minimum. One model family, one administrative envelope, hosted on OpenAI's infrastructure.
- No seat minimum. Flat plans by team size: $20, $50 or $150/month for teams up to 10, 30 or 100 people, with 2 months free on annual billing. Model usage at provider rates, never marked up.
- Multi-LLM by default. Use Claude, Gemini, Groq and more — not OpenAI alone.
- Managed, without the procurement cycle. We run it for you — sign up and invite your team in minutes.
~$60/user/mo · 150-seat minimum (typical)
Microsoft 365 Copilot
Grengin vs Microsoft 365 Copilot
Best for: Microsoft-native teams whose AI use cases live inside Office apps.
Copilot embeds AI into Word, Excel, PowerPoint, Outlook, and Teams, grounded in your tenant Microsoft Graph and governed through Purview. Genuinely transformative for in-Office work — but it requires a qualifying M365 license, Entra ID, and the full Microsoft data estate, at $30 per user per month on top of what you already pay.
- No Microsoft tax. No E3/E5, no OneDrive/SharePoint/Teams, no Entra ID requirement.
- Works with any stack. Google Workspace, Slack, Notion, Linear — and any SAML/OIDC IdP.
- Multi-model, not OpenAI-via-Azure-shaped. Pick the right model per task.
$30/user/mo + qualifying M365 base license
LibreChat
Grengin vs LibreChat
Best for: teams with DevOps capacity who want to assemble and own the stack.
LibreChat is one of the most successful open-source AI projects — MIT-licensed, multi-model, with mature agent and MCP support. The catch is operations: a production deployment means LibreChat plus MongoDB, Meilisearch, PGVector, a RAG API, a reverse proxy, and SSL — and teams routinely add a separate gateway for cost tracking, PII detection, and audit.
- Zero ops. We run it for you — no database, search index or reverse proxy to maintain.
- Governance in the box. Cost analytics, hard caps, PII detection and audit export pre-installed.
- Same open-source freedom. Audit the code and see exactly what runs your workspace.
$0 software · ~$13,600–$45,400/yr realistic TCO (50 users)
Why Teams Choose Grengin, Across Every Comparison
Across all three comparisons, the same advantages show up. Grengin is the private, multi-model AI workspace teams can start using today, managed for them by Grengin — without a procurement cycle, a Microsoft dependency, or a DevOps project.
1
Managed for you
We run Grengin for you, so there is no infrastructure to own or patch, and you choose the region at setup. Need dedicated hosting or your own cloud account? Talk to us about Enterprise.
2
Multi-model, one interface
OpenAI, Anthropic, Google Gemini, Mistral, Groq, and Cerebras — switchable mid-conversation, with one audit log and one bill.
3
No minimums, no markup
Fixed monthly plans by team size: $20, $50 or $150 for teams up to 10, 30 or 100 people, with 2 months free on annual billing. Starter comes with 2 months free, no credit card needed. Model usage at provider rates, never marked up.
4
Governance built in
Real-time per-user, per-department, per-project cost analytics, hard or soft usage caps, PII detection at the prompt layer, and exportable audit logs.
5
Open source
Audit the code your workspace runs on. Because the software is open, your platform never becomes a black box you can't inspect or leave.
6
Live in minutes
Sign up, connect SSO and invite your team in minutes — no sales cycle, no infrastructure to set up.
FAQ
Enterprise Conversational AI Platform: Frequently Asked Questions
What is the best enterprise AI platform?
There's no single best platform — it depends on your stack. ChatGPT Enterprise suits large, OpenAI-committed organizations; Microsoft 365 Copilot suits Microsoft-native teams whose AI lives inside Office apps; LibreChat suits teams with DevOps capacity who want to build their own stack. Grengin is built for mixed-stack SMBs and mid-market teams that want multi-model access, enterprise AI governance, no seat minimums and no infrastructure to run: flat plans start at $20/month for teams up to 10 people, with Team at $50/month (up to 30) and Business at $150/month (up to 100).
Who can see my data with managed Grengin?
Grengin operates the app for you, so traffic passes through systems we run, in the region you choose at setup. Starter, Team and Business run on shared hosting, with a separate database for each workspace; Enterprise can be dedicated, or run in your own cloud account through an access role you grant and can revoke. Prompts go to the model providers you choose, using your own API keys, and admins get exportable audit logs.Grengin is not in the data path if you host it on your own server.
What is the most private and secure AI for business?
Privacy comes down to where the software runs and who operates it. With SaaS products like ChatGPT Enterprise and Microsoft 365 Copilot, the vendor's hosting, key management, and incident response sit in your data path — so their certifications are the central question. Managed Grengin is honest about the same trade-off: we operate the app, so traffic passes through infrastructure we run, in the region you pick at setup, with PII detection at the prompt layer, exportable audit trails and governance built in. Grengin is not in the data path if you host it on your own server.
Is there an enterprise AI platform without seat minimums?
Yes. Grengin has no seat minimum. Managed by Grengin, you pay one flat monthly price per plan, not per user — Starter $20 (up to 10 people), Team $50 (up to 30), Business $150 (up to 100), plus your model providers at cost. Team size is a recommendation, never a limit, and annual billing gives 2 months free. Starter comes with 2 months free, no credit card needed. Over 100 people, talk to us about Enterprise.
Can my team use multiple AI models in one place?
With Grengin's conversational AI platform, yes — a user can start a conversation on Claude for a long document, switch to GPT to refine, ask Gemini Flash to translate, and use Groq for fast drafts, all in one thread, with one audit log. ChatGPT Enterprise is OpenAI-only and Microsoft 365 Copilot is OpenAI-via-Azure, so genuine multi-model access on those platforms usually means adding a second tool — which becomes another shadow-AI surface to govern.
How fast can an enterprise AI platform be deployed?
Managed Grengin is live in minutes: sign up, connect keys and SSO, and invite your team — there is no infrastructure to set up. ChatGPT Enterprise typically runs days to weeks for the sales cycle and provisioning, Microsoft 365 Copilot requires tenant readiness and a rollout, and a production-ready LibreChat stack ranges from 30 minutes to several days — plus ongoing maintenance for each new CVE.
Is open-source AI enterprise-ready?
It can be — AI governance solutions are the real differentiator. LibreChat is a strong open source AI project, but production teams commonly bolt on a separate AI gateway to get cost tracking, PII detection, and compliance-grade audit export. Grengin is also open source, but ships those AI enterprise governance behaviors in the product we run for you, so they work from day one — and because the code is open, your security team can still audit it.
Ready to start your enterprise AI adoption?
The simplest test is to run Grengin alongside whatever you're evaluating. Try it for free — no procurement cycle, no implementation partner — or watch the demo first. Starter comes with 2 months free, no credit card needed.