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HoneyHive vs Helicone

HoneyHiveHelicone

Bottom line: HoneyHive for enterprises running production agents; Helicone for teams wanting simple, cheap LLM logging.

	HoneyHive Observability and evaluation platform for AI agents and LLM applications Visit	Helicone Open-source LLM observability and AI gateway in one line of code. Visit
Votes	0	0
Pricing	Freemium	Freemium
Category	Llm Observability	Llm Observability
Tags	llm-observabilityevaluationtracingagent-monitoringllmops	llm-observabilityai-gatewayopen-sourcemonitoringcaching
Best for	Enterprises running production agents Teams needing data-residency control Cross-functional AI product teams	Teams wanting simple, cheap LLM logging Developers self-hosting an open-source gateway Cost and usage monitoring across providers
Pros	End-to-end tracing, evaluation, and monitoring Enterprise-grade data-residency options Collaboration across engineering and SMEs Human-in-the-loop plus automated evaluators OpenTelemetry-based instrumentation	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	Pricing is sales-led and not fully public Production use pushes toward Enterprise plans Less community mindshare than open-source rivals Text/LLM-focused rather than broad APM Setup requires instrumentation effort	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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