Agentic Index

Arize AI vs Galileo (2026)

Choose Arize AI for observability rooted in production ML monitoring with the open source Phoenix core, and choose Galileo for managed evaluation with vendor maintained metrics and inline guardrails. Arize starts at 50 dollars a month with a free tier, while Galileo starts at 100 dollars a month billed yearly with a free tier. Arize leans toward monitoring what production systems do; Galileo leans toward judging and gating what models say.

At a glance Arize AI Galileo
Category Agent infrastructure Agent infrastructure
Entry price From $50/mo · free tier + open source From $100/mo billed yearly · free tier
Free / trial AX Free (25k spans/mo, 1 GB, 15 day retention) and Phoenix open source, both free Free tier: 5,000 traces/month, unlimited users, unlimited custom evals, no card
Pricing confidence public exact public exact
Feature
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.

Partial Full / Explicit

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Full / Explicit Partial

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Full / Explicit Full / Explicit

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.

Full / Explicit Full / Explicit
Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.

Partial No / Not documented
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.

Full / Explicit 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

Entry price

Lowest public entry point

From $50/mo · free tier + open source From $100/mo billed yearly · free tier

Pricing confidence

How public the numbers are

Public — exact Public — exact

Billing

Primary billing axis

Flat monthly plan with usage overage on trace spans and ingestion (GB) Monthly traces within subscription tiers; Pro pricing scales with trace volume

Variable cost

Workload / overage exposure

Medium variable cost Medium variable cost

Free tier / trial

Try before you buy

Free tier
Free tier

Buying motion

Self-serve vs sales call

Mixed Self-serve

Choose Arize AI if

  • Unified observability across classic ML and LLM workloads is the mandate
  • An open source core keeps your tracing portable if you change vendors
  • Production monitoring depth outranks prebuilt evaluation metrics

Choose Galileo if

  • Twenty plus maintained metrics and Luna judge models replace eval engineering
  • Low latency inline guardrailing is part of the production requirement
  • You want automated failure clustering rather than dashboards to interpret

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