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Galileo vs Helicone

GalileoHelicone

Bottom line: Galileo for teams shipping GenAI apps to production; Helicone for teams wanting simple, cheap LLM logging.

GalileoGalileo

Evaluation intelligence and observability platform for GenAI apps and agents

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HeliconeHelicone

Open-source LLM observability and AI gateway in one line of code.

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Votes00
PricingFreemiumFreemium
CategoryLlm ObservabilityLlm Observability
Tags
llm-evaluationobservabilityguardrailsgenai-metricsagent-monitoring
llm-observabilityai-gatewayopen-sourcemonitoringcaching
Best for
  • Teams shipping GenAI apps to production
  • Organizations needing evaluation rigor
  • Agent developers wanting guardrails
  • Teams wanting simple, cheap LLM logging
  • Developers self-hosting an open-source gateway
  • Cost and usage monitoring across providers
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
  • Extremely easy integration via a one-line base-URL swap
  • Open source under Apache 2.0 and free to self-host
  • Tiny Docker image that runs almost anywhere
  • Gateway features like caching, failover, and rate limiting cut cost and improve reliability
  • Generous free tier of 10,000 requests per month
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
  • Product is in maintenance mode after the Mintlify acquisition, with no roadmap
  • Long-term hosted-service viability is uncertain and migration may be needed
  • Usage-based overages mean the Pro price is a floor, not a cap
  • Short retention on lower tiers (7 days free, 30 days Pro)
  • Large price jump from Pro to Team for compliance features

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