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Galileo vs Vellum

GalileoVellum

Bottom line: Galileo for teams shipping GenAI apps to production; Vellum for teams wanting an all-in-one build-evaluate-deploy platform.

GalileoGalileo

Evaluation intelligence and observability platform for GenAI apps and agents

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VellumVellum

Build, evaluate, and deploy LLM apps and agents with confidence.

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Votes00
PricingFreemiumFreemium
CategoryLlm ObservabilityLlm Observability
Tags
llm-evaluationobservabilityguardrailsgenai-metricsagent-monitoring
llmopsai-agentsprompt-engineeringevaluationworkflow
Best for
  • Teams shipping GenAI apps to production
  • Organizations needing evaluation rigor
  • Agent developers wanting guardrails
  • Teams wanting an all-in-one build-evaluate-deploy platform
  • Cross-functional groups with technical and non-technical members
  • Regulated sectors needing VPC or HIPAA options
Pros
  • Purpose-built Luna evaluation models (fast, cheaper than LLM-judge)
  • 20+ research-backed metrics
  • Covers evaluation, observability, and guardrails
  • Polished console with minimal setup
  • Free plan with 5,000 traces/month
  • Combines prompt, workflow, evaluation, and deployment in one platform
  • Visual workflow builder lowers the barrier for cross-functional collaborators
  • Solid evaluation and testing tooling for pre-production quality gates
  • Multi-provider model support avoids lock-in
  • Free tier lets teams trial without a credit card
Cons
  • Pro at $100/month may be steep for small teams
  • Free plan lacks RBAC and advanced analytics
  • Managed platform hosts your evaluation data (unless enterprise self-host)
  • Text/GenAI-focused
  • Advanced features gated to higher tiers
  • Pricing is opaque and sales-led, making budgeting hard
  • Not open source, and self-hosting is locked to Enterprise
  • Free tier is quite limited in credits, documents, and seats
  • Smaller company and funding than infrastructure incumbents
  • Frequent repositioning can mean shifting product focus

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