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Athina AI vs Helicone

Athina AIHelicone

Bottom line: Athina AI for lLM app developers; Helicone for teams wanting simple, cheap LLM logging.

Athina AIAthina AI

Observability, evaluation, and experimentation platform for LLM teams

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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-observabilityevaluationmonitoringtracingllm-as-judge
llm-observabilityai-gatewayopen-sourcemonitoringcaching
Best for
  • LLM app developers
  • AI/ML teams
  • Prompt engineers
  • Teams wanting simple, cheap LLM logging
  • Developers self-hosting an open-source gateway
  • Cost and usage monitoring across providers
Pros
  • Combines observability and evaluation
  • 50+ preset evals plus custom and LLM-as-judge
  • Full trace capture with execution replay
  • Segmented analytics across many dimensions
  • Self-hosted VPC and SOC 2 Type 2 options
  • 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
  • Requires instrumentation to get value
  • Broad feature set has a learning curve
  • Advanced/enterprise features are paid
  • Overlaps with other eval tools in the market
  • Best suited to technical AI teams
  • 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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