Helicone

Name: Helicone
Brand: Helicone
Price: 100 USD
Rating: 4.5 (2 reviews)

Claim this tool Editor reviewed

Build reliable AI apps with Helicone: AI Gateway & LLM Observability for debugging, routing, and analysis.

API Tools Debugging AI Observability

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Reviews onG2

2 reviews tracked

The Bottom Line

Entry price

From $100/mo (free plan available)

Biggest pro

LLM observability

Biggest con

Newer platform

TL;DR - Helicone

Routes, debugs, and analyzes AI applications.
Offers LLM observability and an AI Gateway.
Provides flexible pricing and scales with usage.

Pricing: Free plan available

Best for: Growing teams

What is Helicone?

Editorial review

Helicone is an AI Gateway and LLM Observability platform designed to help companies build, debug, and analyze their AI applications. It provides tools to route requests, identify and fix issues, and gain insights into application performance. Helicone aims to make AI development more reliable and efficient for fast-growing AI companies. The platform offers features like request monitoring, usage-based billing, caching, rate limits, automatic fallbacks, and data retention. It also includes advanced capabilities for prompts and testing, such as a playground, scores, and datasets. Helicone is built to scale with teams of all sizes, from individual developers to large enterprises, offering various plans with increasing features and support. Helicone is ideal for developers, teams, and enterprises working with AI applications who need robust tools for observability, performance optimization, and compliance. It helps users understand AI performance bottlenecks, save time on debugging, and ensure their AI products are reliable and scalable.

Available on: Web

LCLouis CorneloupUpdated May 26, 2026 · how we evaluateSourcehelicone.ai ↗

Pros & Cons

Pros

LLM observability
Request logging
Cost tracking
Good for AI apps
Fair pricing

Cons

Newer platform
Limited features
Still maturing
Integration effort
Documentation improving

Ratings Across the Web

4.5(2 reviews)

Helicone holds an aggregate rating of 4.5 out of 5 from 2 reviews across G2, last checked March 18, 2026.

G22 reviews

4.5/5

Ratings aggregated from independent review platforms. Learn more

Key Features

LLM observabilityRequest loggingCost trackingLatency monitoringPrompt managementAnalytics

Pricing Plans

Pricing checked Aug 23, 2026

Free

Getting started

100k requests/month
7-day retention
Basic analytics
Community support

Pro

$100/month

Production

10M requests/month
30-day retention
Advanced analytics
Email support

Enterprise

null

Large scale

Unlimited requests
Custom retention
SSO
Dedicated support

Calculate your cost View full pricing

Is Helicone worth the price?

85/100

Helicone's pricing is quite fair, offering a generous Free tier for initial exploration and a well-priced Pro tier at $100/month for significant production use.

The 10M requests/month for $100 is a strong value proposition for many AI applications. It's best for developers and small to medium-sized businesses building and scaling AI applications.

Hidden Costs & Gotchas

Potential overage fees if exceeding Pro tier limits

Enterprise tier requires custom negotiation

No explicit mention of data egress costs

How Helicone Compares to Competitors

Compared to similar LLM observability platforms like Langfuse or Vercel AI Playground (for basic logging), Helicone's Pro tier at $100 for 10M requests is competitive. Some competitors might offer slightly lower entry points but often scale up quickly, making Helicone's Pro tier a solid mid-range option.

How Helicone's pricing compares

At $100/mo, Helicone is the most premium of its 3 direct competitors.

OpenAI Platform

$0.04

Arize AI

$50

Weights & Biases

$60

Helicone

$100

Entry paid plan, monthly. Pricing checked Aug 23, 2026.

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Best Helicone Alternatives

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Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

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Helicone FAQ

How does Helicone help improve the reliability of AI applications?

Helicone provides an AI Gateway and LLM Observability platform that allows users to debug, route, and analyze their AI applications. It offers features like request monitoring, automatic fallbacks, and rate limits to ensure applications perform consistently and reliably.

Which teams would benefit most from using Helicone?

Helicone is ideal for developers, teams, and enterprises working with AI applications who require robust tools for observability, performance optimization, and compliance. It helps these users understand AI performance bottlenecks and streamline debugging processes.

How is Helicone priced?

Helicone is available on a free tier, providing access to basic features and usage. For more extensive usage and advanced features, users can subscribe to various paid plans designed to scale with different team sizes and needs.

Can Helicone assist with managing costs associated with AI models?

Yes, Helicone includes cost tracking as one of its core strengths, helping users monitor and manage their expenditures related to AI model usage. This feature is part of its broader aim to provide insights into application performance and efficiency.

What kind of limitations should users be aware of when considering Helicone?

Helicone is a newer platform that is still maturing, which means it currently offers a more limited set of features compared to established tools. Users might also experience an initial integration effort, and its documentation is continuously improving.

How does Helicone compare to LangSmith for LLM observability?

Helicone focuses on providing an AI Gateway and LLM Observability platform with features like request logging, cost tracking, and automatic fallbacks. While LangSmith also offers LLM observability, Helicone emphasizes its fair pricing and comprehensive debugging and analysis tools for AI applications.

Does Helicone offer tools for testing and improving prompts?

Yes, Helicone includes advanced capabilities for prompts and testing within its platform. These features include a playground for experimentation, scoring mechanisms, and the ability to work with datasets to refine and optimize prompt performance.

Source: helicone.ai

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