Galileo vs HoneyHive
Both are observability & tracing tools. Here is how they actually differ on price, billing model and deployment.
Galileo
The best-funded evaluation-and-observability platform in this space, built around proprietary Luna eval models. Not to be confused with the Google-acquired text-to-UI tool of the same name. Real pricing is sales-led above $100/mo.
HoneyHive
An OpenTelemetry-based observability and evaluation platform aimed squarely at production AI agents at enterprise scale. Strong free developer tier, then a wall - everything above it is contact-sales with no published rate card.
| Galileo | HoneyHive | |
|---|---|---|
| Category | Observability & Tracing | Observability & Tracing |
| Our rating | 4/5 | 4/5 |
| Starting price | $100/mo | Custom (contact sales) |
| Billing meter | span | event |
| Free plan | Yes | Yes |
| Free self-hosting | No or paid tier only | No or paid tier only |
| Best for | Enterprise GenAI teams that have been burned by production hallucinations and want research-grade eval metrics plus guardrails, and can run a sales process | Teams running agent-heavy production workloads who want tracing, online evaluation, annotation and experiments in one agent-focused system, and who are comfortable with an enterprise sales process rather than self-serve pricing. |
Our verdict on Galileo
Galileo is the best-funded and arguably most research-forward platform here, and the Luna eval models are a real bet on making evaluation cheap enough to run continuously. Two caveats. First, make sure you're evaluating this Galileo and not the design tool that shares the name - the pricing and reviews get conflated constantly. Second, above the $100 Pro tier everything is contact-sales, and self-host is Enterprise-only, so this is a platform you buy through a rep, not a card.
Full Galileo review →Our verdict on HoneyHive
HoneyHive is a genuinely good agent observability platform with a commercial model that will filter out half its potential users before they try it. The product is strong where it counts for agents - OpenTelemetry-based tracing with session replay and multi-agent filtering, and evaluators that run automatically against live production traces rather than only offline datasets. That last capability is the one most tools leave undone, and combined with drift detection, regression alerting and CI/CD integration it forms a coherent quality loop. The free developer tier is honest, giving full features at 10,000 events a month. Above that, there is no published pricing of any kind. Everything is custom and contact-sales. For an enterprise buyer that is normal. For a team trying to compare five platforms on cost before committing engineering time, it is a wall, and it means you cannot know whether HoneyHive is competitive without entering a sales cycle.
Full HoneyHive review →Frequently Asked Questions
What is the main difference between Galileo and HoneyHive?
Galileo: Enterprise GenAI teams that have been burned by production hallucinations and want research-grade eval metrics plus guardrails, and can run a sales process HoneyHive: Teams running agent-heavy production workloads who want tracing, online evaluation, annotation and experiments in one agent-focused system, and who are comfortable with an enterprise sales process rather than self-serve pricing. Both sit in Observability & Tracing, so the decision usually comes down to billing model and deployment rather than raw capability.
Which is cheaper, Galileo or HoneyHive?
It depends entirely on your workload shape, because they meter differently - Galileo bills on span and HoneyHive bills on event. Published starting prices are $100/mo and Custom (contact sales) respectively, but those numbers are not comparable until you apply them to the same traffic. Use our cost calculator to model both against your own request volume and span count.
Can I self-host Galileo or HoneyHive?
Galileo: No or paid tier only. HoneyHive: No or paid tier only. Free self-hosting means no licence fee, not no cost - you still own the infrastructure, upgrades and on-call.