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Helicone

Open-source LLM observability through a single-line proxy

Helicone is an open-source LLM observability and AI gateway platform with proxy-based request logging, cost tracking, latency monitoring, caching, rate limits, user analytics, prompt tools, and HQL. It supports OpenAI, Anthropic, Azure, LiteLLM, Anyscale, Together AI, and OpenRouter integrations, and now presents itself as part of Mintlify while continuing managed and self-hosted gateway/observability workflows.

About Helicone

Helicone is an open-source LLM observability platform that takes a uniquely simple approach to monitoring AI applications. Instead of requiring SDK integration or code changes, developers simply change their API base URL to route LLM requests through Helicone's proxy, instantly enabling comprehensive observability.

The proxy approach means Helicone works with major LLM providers and client libraries with minimal code changes beyond the URL swap. Current public pages list integrations such as OpenAI, Anthropic, Azure, LiteLLM, Anyscale, Together AI, and OpenRouter, while Helicone now presents itself as part of Mintlify rather than relying on an old interaction-count claim.

Core features include request and response logging, cost tracking across models and users, latency monitoring, response caching for cost reduction, rate limiting for usage control, and user-level analytics. The dashboard provides real-time visibility into all LLM usage across an organization.

Additional capabilities include prompt experimentation for A/B testing different prompts, evaluation tools for measuring output quality, and a gateway that adds routing, fallback, and retry logic to LLM requests.

Helicone is open-source and can be self-hosted. The managed cloud currently lists Hobby Free with 10,000 requests, Pro at $79/month, Team at $799/month, and Enterprise custom packages. The simplicity of the proxy integration makes it particularly attractive for teams wanting observability without heavy instrumentation.

Pricing & Platform Specs

Pricing Summary

Helicone is open-source under Apache 2.0. Its hosted AI Gateway offers a Free Hobby plan (10,000 requests/month, 7-day logs), a Pro tier at $79/month for unlimited team seats and custom dashboards, a Team tier at $799/month for multi-org setups and SOC-2/HIPAA, and tailored Enterprise contracts.

full pricing breakdown →

Supported Platforms

Web, Proxy API, Self-hosted, Docker

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Side-by-Side Comparisons

CodeBurn logo
CodeBurn
vs
Helicone logo
Helicone

CodeBurn vs Helicone: Local Agent Costs or LLM Observability?

CodeBurn and Helicone address different layers of AI cost visibility. CodeBurn reads local coding-agent session files to explain spend across tools such as Claude Code, Codex, and Cursor without changing the request path. Helicone is an LLM gateway and observability platform for application traffic, with logs, cost analytics, caching, fallbacks, prompts, scores, and team controls. For the coding-agent FinOps job represented by this page, CodeBurn is the stronger default because it sees local developer sessions with no proxy or prompt egress. Helicone is the better architecture when the workload is a production LLM application that already needs centralized request telemetry.

CodeBurnHelicone
Helicone logo
Helicone
vs
LiteLLM logo
LiteLLM

Helicone vs LiteLLM — LLM Observability Layer or Routing Gateway?

Teams researching LLM infrastructure often land on “Helicone vs LiteLLM” expecting a straight head-to-head, the way you would compare two code editors or two vector databases. That expectation is the wrong starting point. Helicone and LiteLLM solve adjacent but distinct problems in a production LLM stack, and understanding which layer each one occupies matters more than picking a “winner.” This comparison breaks down what each tool actually does, how they are priced and deployed, and — because it materially affects the decision — what a March 2026 ownership change means for one of them going forward.

HeliconeLiteLLM
Langfuse logo
Langfuse
vs
Helicone logo
Helicone

Langfuse vs Helicone — Open-Source LLM Tracing vs Lightweight Observability Proxy

Langfuse and Helicone are the two leading open-source LLM observability platforms, but they differ in architecture and depth. Langfuse provides comprehensive tracing with prompt management, evaluation, and dataset curation. Helicone operates as a lightweight proxy that requires zero code changes — just swap your API base URL. This comparison helps teams choose between deep observability and frictionless integration for their LLM applications.

LangfuseHelicone
View 2 more comparisons

Community experience

Sources & verification

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Content verified

Verification dates are editorial checks. Routine CMS saves and automatic updatedAt timestamps do not advance them.

FAQ

What is Helicone?

Helicone is an open-source LLM observability and AI gateway platform with proxy-based request logging, cost tracking, latency monitoring, caching, rate limits, user analytics, prompt tools, and HQL. It supports OpenAI, Anthropic, Azure, LiteLLM, Anyscale, Together AI, and OpenRouter integrations, and now presents itself as part of Mintlify while continuing managed and self-hosted gateway/observability workflows.

Is Helicone free?

Helicone offers a free tier alongside paid plans. Helicone is open-source under Apache 2.0. Its hosted AI Gateway offers a Free Hobby plan (10,000 requests/month, 7-day logs), a Pro tier at $79/month for unlimited team seats and custom dashboards, a Team tier at $799/month for multi-org setups and SOC-2/HIPAA, and tailored Enterprise contracts.

Is Helicone open source?

Yes — Helicone is open source.

Is Helicone still maintained?

Yes — Helicone is active. Its listing was last verified on August 26, 2026.

What are the best Helicone alternatives?

The first editor-selected Helicone alternatives are Tokscale, Laminar, Braintrust.

How does Helicone score in our review?

The published editorial review lists Helicone at 84/100 overall across speed, privacy, and developer experience. Check the review's evidence status and test metadata for its verification level.