Helicone
by Helicone · AI gateway and LLM observability for routing, debugging and analysing apps
BenchRank score
Screenshots of Helicone
Homepage
Overview
Helicone is an AI gateway and LLM observability platform. Applications point the OpenAI SDK at its gateway endpoint and switch between 100+ models from providers such as OpenAI, Anthropic, Azure, Together AI and AWS Bedrock by changing the model name. The dashboard covers requests, sessions, users, prompts, datasets, a playground, alerts and rate limits.
- Best for
- AI engineering teams routing, debugging and monitoring LLM calls across many providers
- Pricing
- Free Hobby tier, then $79/month for Pro and $799/month for Team, both with usage-based charges on top, and Enterprise on contact sales.
- Runs on
- WebSelf-hosted
Strengths and trade-offs
Strengths
- One OpenAI-compatible endpoint reaches 100+ models
- Free Hobby tier with 10,000 requests and 1 GB storage
- Gateway adds caching, rate limits and automatic fallbacks
- Described as open-source in its own comparison table
Trade-offs
- Pro and Team add usage-based charges on top of the flat monthly fee
- Free tier keeps data 7 days and caps ingestion at 10 logs/min
- SOC-2 and HIPAA only from the $799/month Team plan
- Site announces Helicone joining Mintlify, so ownership is changing
How Helicone markets itself
A structured read of the promise, proof and page design on Helicone’s captured homepage.
Homepage capture
“Build Reliable AI Apps”
- Angle: Outcome / benefit-led
- Hero: Product screenshot
Pricing
Published plans and prices from Helicone’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The Helicone pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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Is this your product?
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