Galileo AI pricing starts at $0/month, Pro is $100/month billed yearly, and Enterprise is whatever number comes out of a sales call. I dug into each plan so you don't have to guess what you actually get, where the costs creep up, and which tier makes sense depending on where your team is right now.
Galileo AI Pricing Plans: At a Glance
Galileo offers three plans.
Free is ideal if you're still figuring out whether Galileo fits your workflow. Pro is for you if you have something in production and need more room to grow. Enterprise may be right if your team has compliance requirements, needs VPC deployment, or just can't afford surprises at volume.
| Plan | Price | Best For | Key Features |
|---|---|---|---|
| Free | $0/month | Developers and small teams who want to experiment, iterate, and build | 5,000 traces/month, unlimited users, unlimited custom evals |
| Pro | $100/month* | Teams launching apps to production who need room to grow | 50,000 traces/month, standard RBAC, advanced analytics, Slack support |
| Enterprise | Contact for pricing | Teams that need unlimited scale, security, and premium support | Unlimited traces, VPC/on-prem deploy, SSO, dedicated CSM, real-time guardrails, 24/7 support |
*When the Pro plan is billed yearly, you save 33%. The monthly price is $150. Price scales based on the number of traces.
What Each Plan Actually Includes
The jump from Free to Pro is mostly about trace volume and support.
The real feature gap is between Pro and Enterprise, where deployment options, security controls, and guardrails come in.
| Feature | Free | Pro | Enterprise |
|---|---|---|---|
| Traces/month | 5,000 | 50,000 (scales) | Unlimited |
| Users | Unlimited | Unlimited | Unlimited |
| Custom evals | Unlimited | Unlimited | Unlimited |
| Standard RBAC | No | Yes | Yes |
| Enterprise RBAC + SSO | No | No | Yes |
| Advanced analytics & insights | No | Yes | Yes |
| Dedicated Slack support | No | Yes | Yes |
| 24/7 support (Slack, email, phone) | No | No | Yes |
| Real-time guardrails | No | No | Yes |
| Custom rate limits | No | No | Yes |
| Deploy: hosted / VPC / on-prem | Hosted only | Hosted only | All three |
| Dedicated CSM | No | No | Yes |
| Low-latency dedicated inference servers | No | No | Yes |
| Forward-deployed engineering support | No | No | Yes |
Galileo AI Pricing Plans Breakdown
Galileo's three pricing tiers vary in what they offer. But the real decision point is whether you need Enterprise, and that comes down to one thing: deployment.
Free Plan: $0/month
What's included: 5,000 traces/month, unlimited users, unlimited custom evals.
Best for:
- Individual developers or small teams who are exploring LLM observability for the first time
- Teams in prototyping mode who don't have anything in production yet
- Anyone who's trying to validate whether Galileo fits their workflow before committing
Pros:
- No cap on users or custom evals, which is generous for a free tier
- You get full access to the core platform without a credit card
Cons:
- The trace limit runs out fast once you've got a live app with real traffic
- No RBAC, no advanced analytics, no dedicated support. It's not a fit for teams that need access control
Pro Plan: $100/month (When Billed Yearly)
What's included: Everything in Free, plus 50,000 traces/month, standard RBAC, advanced analytics and insights, and dedicated Slack support.
Best for:
- Product or engineering teams who're launching AI apps in production
- Startups and scale-ups that need genuine insight into how their LLMs are behaving
- Teams that have already outgrown the Free tier and don't need Enterprise-level infrastructure
Pros:
- Standard RBAC means no more shared logins or permission workarounds as the team grows
- Advanced analytics surface quality issues and latency spikes you'd otherwise only hear about from users
Cons:
- At high trace volumes, the real monthly cost climbs well past $100
- No SSO, no real-time guardrails, no VPC or on-prem deployment
Enterprise Plan: Custom Pricing
With this plan, you get everything in Pro plus:
- Unlimited traces
- Custom rate limits
- Deploy: hosted, VPC, or on-prem
- Enterprise RBAC + SSO
- Dedicated CSM
- Real-time guardrails
- 24/7 support via Slack, email, or phone
- Low-latency dedicated inference servers
- Forward-deployed engineering support
Best for:
- Enterprises running AI apps at scale with compliance and security standards
- Teams in fintech, healthtech, or legaltech where data can't live on shared infrastructure
- Organizations where a bad model output reaching the user isn't an option
Pros:
- Unlimited traces and custom rate limits mean you're not managing ceilings as you grow
- 24/7 support via Slack, email, or phone with a dedicated CSM, not a shared queue
Cons:
- No public pricing means you're committing time to a sales cycle before you know the number
- Overkill for smaller teams or projects without strict data governance or enterprise-level volume
Which Galileo AI Plan Should You Choose?
The choice comes down to where your app is in its lifecycle and what you actually need from an observability tool. Here's how to think about it.
Choose Free if:
- You are still figuring out whether Galileo fits your evaluation workflow before putting a card down
- Your app's in prototyping or staging, and you're not hitting more than 5,000 traces/month yet
- Unlimited custom evals from day one matter to you. It's one of the most generous things about this tier
Choose Pro if:
- You've already shipped something to production and need actual visibility into quality, latency, and model errors
- Standard RBAC is on your list. It lets you manage team permissions without going through a sales process
- Your trace volume's in the mid-range, or you're expecting to get there soon
Choose Enterprise if:
- Your operation's outgrown what Pro can handle on volume alone
- You're in fintech, healthtech, or legaltech, and your data can't live on shared infrastructure. VPC or on-prem deployment is a hard requirement
- Real-time guardrails matter because a bad model output reaching your users isn't an option
- Dedicated low-latency inference servers are relevant for you. Shared infrastructure causes the kind of latency spikes that show up in production response times
Is Galileo AI Worth the Cost?
The answer varies by your app's stage and how much you're logging.
Galileo AI is worth it if:
- You have an LLM app in production and need visibility fast. Even on Free, you get unlimited custom evals and metrics like Context Adherence, Correctness, Toxicity, and PII Detection at $0
- You operate in fintech, healthtech, or legaltech. A toxic output or PII leak in a regulated context can trigger fines, audits, or churn that dwarf Enterprise's plan cost
- Your team still evaluates outputs manually. Galileo's ROI is measured in engineering hours you stop spending on manual review, especially for multi-step agents
Skip Galileo AI (or stay on Free) if:
- You're still in prototyping and under 5,000 traces/month. No reason to commit to annual billing until you're close to that limit
- You need transparent, predictable pricing. Pro scales with trace volume. Enterprise has no public number. For teams with fixed budgets or long procurement cycles, that's a hard blocker
- You're building a voice or chat AI agent and need behavioral testing. Galileo AI pricing covers LLM output evaluation. It doesn't test whether your agent completed the booking, handled an interruption, or stayed on script across a full multi-turn flow.
Galileo AI Alternatives & Pricing Comparison
Galileo isn't the only option in this space. Here's how it stacks up against the tools teams most often compare it to.
| Tool | Starting Price | Best For | Key Difference |
|---|---|---|---|
| Galileo AI | Paid plans starting at $100/month (billed yearly) or $150/month (billed monthly) | Teams focused on guardrails and safety | Built-in safety evaluators, real-time guardrails |
| Braintrust | Paid plans starting at $249/month | Teams that need eval + tracing in one place | Full eval-to-production loop with CI/CD gates |
| LangSmith | Paid plans starting at $39/seat/month | Teams already on LangChain or LangGraph | Zero-config tracing inside the LangChain ecosystem |
| Langfuse | Paid plans starting at $29/month | Teams that need open-source, self-hosted tracing | MIT license, full data ownership, no vendor lock-in |
| Arize Phoenix | Paid plans starting at $50/month | Teams with open-source requirements | One Docker command, OpenTelemetry-native, free on-prem |
Cekura + Galileo AI: Testing the Full Stack
Galileo evaluates LLM outputs. Cekura tests whether your conversational agent actually works end-to-end. They solve different problems, and for teams building voice or chat AI, you likely need both.
Galileo covers the output layer. Cekura covers whether your agent completed the booking, handled the interruption, or stayed on script when a user pushed back. Single-turn evals miss what simulations catch.
Use Galileo when you need:
- LLM evaluation and observability across your full model stack
- Real-time guardrails to block unsafe outputs before they reach users
- Production monitoring that catches model degradation before users do
Use Cekura when you need:
- Pre-production simulation of your agent across hundreds of scenarios
- Production monitoring, including alerts, call analytics, and quality metrics on live conversations
- Automated QA for your CI/CD pipeline, where test runs trigger automatically on prompt changes
- Predefined and custom metrics with built-in latency, instruction-following, and tool-call tracking, plus define your own
- Customer satisfaction metrics to track CSAT and drop-off points to find where your agent loses callers
- SOC 2, HIPAA, and GDPR compliance for transcript redaction, role-based access, and audit trails
Native integrations work out of the box for Retell, VAPI, ElevenLabs, LiveKit, Pipecat, Bland, and more. You don't rebuild anything. You add a testing and observability layer on top of what you already have.
Use both, and nothing slips through between the output and conversation layers. Book a demo and see how Cekura tests your agents before they reach production.
My Bottom Line on Galileo AI Pricing
The thing most teams miss is that Galileo's pricing isn't really about the plan tier. It's about whether you're logging enough to justify it.
At low volume, Free does the job. At mid volume, Pro's $100 is defensible. At high volume, you're in Enterprise before you realize it, and that's when the lack of a public price starts to matter.
Frequently Asked Questions
How Much Does Galileo AI Cost?
Galileo AI starts at $0/month on the Free plan. Pro is $100/month when billed yearly, with pricing that scales based on trace volume. Enterprise is custom. You'll need to go through a sales process to get a custom quote.
What Does Galileo AI Pricing Include on Each Plan?
The Free plan covers 5,000 traces/month, unlimited users, and unlimited custom evals. Pro adds 50,000 traces/month, standard RBAC, advanced analytics, and Slack support. Enterprise unlocks unlimited traces, VPC/on-prem deployment, SSO, real-time guardrails, and dedicated support.
Does Galileo AI Have a Free Plan?
Yes, you can get started on the Free plan without a credit card. It's a real working tier with no expiration date.
What's the Difference Between Galileo AI's Free and Pro Plans?
The main difference between Free and Pro is trace volume and access controls. Free caps you at 5,000 traces/month with no RBAC. Pro removes that ceiling and adds standard RBAC, advanced analytics, and dedicated Slack support.
Does Galileo AI Offer Real-Time Guardrails?
Yes, but only on the Enterprise plan. Real-time guardrails aren't available on Free or Pro. If that feature is on your requirements list, you're going into a sales conversation.
What's the Difference Between Galileo AI and Cekura?
The main difference between Galileo AI and Cekura is what they test.
Galileo evaluates LLM outputs at the call level, scoring how well your model performs in production. Cekura runs end-to-end conversational simulations for voice and chat agents, testing full workflows like booking flows, interruptions, and edge cases before they reach real users.