AI Tool
Helicone pricing, features, company info, and alternatives
A factual product page for Helicone.
Last updated April 2026 · Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for Helicone, last verified Apr 24, 2026.
Hobby
$0 / month
Includes 10,000 requests per month, 1 GB storage, 1 seat, and 1 organization.
Pro
$79 / month
Adds unlimited seats, alerts, reports, and HQL; usage-based pricing still applies.
Team
$799 / month
Adds 5 organizations, dedicated Slack support, and SOC 2 / HIPAA plan-level coverage; usage-based pricing still applies.
Enterprise
Custom
Adds SAML SSO, on-prem deployment, custom MSA, and bulk cloud discounts.
What You Can Do With It
The main capabilities that shape how people use Helicone today.
Expose multiple model providers through an OpenAI-compatible AI Gateway instead of maintaining separate provider SDKs.
Trace requests, sessions, users, latency, token usage, and costs in one observability dashboard.
Add fallbacks, routing, caching, rate limits, prompts, datasets, and playground workflows around live traffic.
Run the platform with Helicone billing through the gateway or in observability-only mode with your own provider keys.
Best For
Who Helicone is most clearly built for.
Teams that want one gateway layer across OpenAI, Anthropic, Google, and other LLM providers.
Developers debugging cost spikes, provider outages, and prompt regressions in production AI apps.
Organizations that want gateway routing and request analytics without building their own control plane.
Platforms
Where you can use Helicone today.
Web
API
Self-hosted / on-prem (Enterprise)
Integrations
Notable connected tools and ecosystem hooks for Helicone.
OpenAI
Anthropic
Azure OpenAI
LiteLLM
OpenRouter
Together AI
Access
How to integrate or build around Helicone.
Public API
Yes
Docs
Available
Alternatives
Other tools worth considering alongside Helicone.
Open-source LLM engineering platform for tracing, prompt management, evaluations, and analytics.
Framework-agnostic platform for observability, evaluation, and deployment of AI agents and LLM apps.
AI observability and evaluation platform for tracing, scoring, and improving production AI applications.
AI gateway and observability platform for production LLM apps.
Product Snapshot
Helicone is an LLM operations platform that combines an OpenAI-compatible gateway with request tracing, cost tracking, and prompt tooling. It is positioned for teams running production AI apps across multiple providers and wanting routing plus observability in one system.
What You Can Do With It
- Route requests through one gateway while switching among providers such as OpenAI, Anthropic, Azure OpenAI, and OpenRouter.
- Inspect request traces, sessions, users, latency, token usage, and costs from a central dashboard.
- Add operational controls such as fallbacks, caching, rate limits, prompts, datasets, and playground workflows around live traffic.
- Use Helicone billing through the gateway or keep your own provider keys and use the platform in observability-focused mode.
Why It Stands Out
Helicone focuses on the control-plane layer around model APIs rather than just logging. The combination of gateway routing, pass-through billing, request analytics, and prompt workflow tools makes it closer to an API operations layer than a standalone tracing dashboard.
Tradeoffs To Know
- Helicone’s pricing includes both plan fees and usage-based charges, so total cost depends on request and storage volume.
- The docs currently label the AI Gateway as beta.
- SAML SSO and on-prem deployment are reserved for Enterprise plans.
- Adding a gateway layer can simplify provider switching, but it also adds another operational dependency between your app and model vendors.