Agentic Index
Galileo vs Patronus AI (2026)
Choose Galileo for a platform approach to evaluation, observability, and guardrails with its Luna models, and choose Patronus AI for research grade failure detection embedded through an API. Galileo starts at 100 dollars a month billed yearly with a free tier, while Patronus runs pay as you go at roughly 10 to 20 dollars per 1,000 API calls with 5 dollars in free credits. Galileo suits teams standardizing on one evaluation platform; Patronus suits teams embedding hallucination and safety checks into existing pipelines.
| At a glance | Galileo | Patronus AI |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | From $100/mo billed yearly · free tier | Pay as you go · $5 free credits · ~$10–$20 per 1,000 API calls |
| Free / trial | Free tier: 5,000 traces/month, unlimited users, unlimited custom evals, no card | Self serve signup with $5 in free credits, no subscription. Pay per API call after that. Lynx hallucination model is open source. |
| Pricing confidence | public exact | public partial |
| Feature |
G
Galileo
|
|
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Partial | Partial |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
No / Not documented | No / Not documented |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Partial | Partial |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
No / Not documented | No / Not documented |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
No / Not documented | No / Not documented |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit | Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Partial | Partial |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Partial |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Partial |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
No / Not documented | Partial |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Partial | Partial |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Partial | Partial |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Full / Explicit | Full / Explicit |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing |
G
Galileo
|
|
|---|---|---|
|
Entry price Lowest public entry point |
From $100/mo billed yearly · free tier | Pay as you go · $5 free credits · ~$10–$20 per 1,000 API calls |
|
Pricing confidence How public the numbers are |
Public — exact | Public — partial |
|
Billing Primary billing axis |
Monthly traces within subscription tiers; Pro pricing scales with trace volume | Pay as you go per API call (evaluation request), priced by evaluator size; cost scales linearly with API traffic |
|
Variable cost Workload / overage exposure |
Medium variable cost | High variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
No free tierTrial
|
|
Buying motion Self-serve vs sales call |
Self-serve | Self-serve |
Choose Galileo if
- You want evaluation, observability, and guardrails consolidated in one platform
- A subscription with a free tier is easier to budget than per call metering
- Automated insight and root cause analysis across eval runs saves review time
Choose Patronus AI if
- You are embedding hallucination detection into your own pipeline via API
- Research grade judge models on specific failure modes are the differentiator you need
- Pay as you go aligns cost to actual evaluation volume