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Helicone Review 2026

Honest pros, cons, and verdict on this llm observability tool

★★★★★
4.3/5

✅ 5-minute proxy integration captures full traces, cost, and latency across 20+ providers

Starting Price

Free

Free Tier

Yes

Category

LLM Observability

Skill Level

Developer

What is Helicone?

Open-source LLM observability, gateway, and cost analytics platform — proxy your OpenAI, Anthropic, or Bedrock calls through Helicone and get traces, caching, retries, rate limiting, and cost tracking in one line of code.

Helicone is a developer-first observability layer for LLM applications. The common integration is a one-line change: point your OpenAI or Anthropic client at Helicone's proxy URL and add an API key header. From there, every request is logged with full prompt, response, tokens, cost, latency, cache status, and metadata; a rich UI lets you filter, replay, and diff requests, group by user, session, or feature, and build dashboards. Beyond passive logging, Helicone acts as a gateway with response caching, prompt-template versioning, automatic retries, rate limiting per user/key, key vault, and provider routing (fallback from primary to secondary provider on error). Evaluations and a small experiments product let you compare prompts on saved datasets. Helicone is open source under the Apache 2.0 license and can be self-hosted; the hosted plan has a free tier (100k logs/mo), Pro at $20/user/mo, Team ($200/mo), and Enterprise. For teams that want a lightweight, provider-agnostic way to understand what their LLM app is actually doing in production without ripping out their existing SDK, Helicone is one of the fastest integrations on the market.

Key Features

✓Proxy-Based Request Logging
✓Cost Analytics & Budget Alerts
✓Gateway-Level Caching
✓Rate Limiting & Retry Logic
✓Custom Properties & Segmentation
✓Experiment Tracking & A/B Testing

Pricing Breakdown

Free

Free

    Pro

    $20/user/month

    per month

      Team

      $200/month

      per month

        Pros & Cons

        ✅Pros

        • •5-minute proxy integration captures full traces, cost, and latency across 20+ providers
        • •Real AI gateway features (caching, retries, fallback, key vault) replace a custom proxy
        • •MIT-licensed and self-hostable on Postgres + ClickHouse — passes regulated procurement

        ❌Cons

        • •Proxy mode adds a network hop unless self-hosted in your own region
        • •Prompt experiment UX is less mature than dedicated eval platforms like Braintrust
        • •Self-hosting requires running ClickHouse, which is an extra ops surface

        Who Should Use Helicone?

        • ✓Teams needing production observability for LLM apps with minimal code change
        • ✓Cost and usage analytics across multiple providers and features
        • ✓Reliability engineering — retries, caching, and fallback across providers
        • ✓Regulated industries requiring self-hosted LLM observability

        Who Should Skip Helicone?

        • ×You're concerned about proxy mode adds a network hop unless self-hosted in your own region
        • ×You're concerned about prompt experiment ux is less mature than dedicated eval platforms like braintrust
        • ×You're concerned about self-hosting requires running clickhouse, which is an extra ops surface

        Alternatives to Consider

        Langfuse

        Langfuse is an open-source LLM observability and engineering platform providing tracing, prompt management, evaluations, and dataset management for production AI applications.

        Starting at Free

        Learn more →

        LangSmith

        LangSmith is LangChain's commercial observability, evaluation and prompt management platform for LLM apps and agents in production.

        Starting at Free

        Learn more →

        Braintrust

        End-to-end evaluation, prompt playground, and observability platform for teams shipping LLM products — the tool most AI teams pick when spreadsheets stop scaling and vibes stop being enough.

        Starting at Free

        Learn more →

        Our Verdict

        ✅

        Helicone is a solid choice

        Helicone delivers on its promises as a llm observability tool. While it has some limitations, the benefits outweigh the drawbacks for most users in its target market.

        Try Helicone →Compare Alternatives →

        Frequently Asked Questions

        What is Helicone?

        Open-source LLM observability, gateway, and cost analytics platform — proxy your OpenAI, Anthropic, or Bedrock calls through Helicone and get traces, caching, retries, rate limiting, and cost tracking in one line of code.

        Is Helicone good?

        Yes, Helicone is good for llm observability work. Users particularly appreciate 5-minute proxy integration captures full traces, cost, and latency across 20+ providers. However, keep in mind proxy mode adds a network hop unless self-hosted in your own region.

        Is Helicone free?

        Yes, Helicone offers a free tier. However, premium features unlock additional functionality for professional users.

        Who should use Helicone?

        Helicone is best for Teams needing production observability for LLM apps with minimal code change and Cost and usage analytics across multiple providers and features. It's particularly useful for llm observability professionals who need proxy-based request logging.

        What are the best Helicone alternatives?

        Popular Helicone alternatives include Langfuse, LangSmith, Braintrust. Each has different strengths, so compare features and pricing to find the best fit.

        More about Helicone

        PricingAlternativesFree vs PaidPros & ConsWorth It?Tutorial
        📖 Helicone Overview💰 Helicone Pricing🆚 Free vs Paid🤔 Is it Worth It?

        Last verified March 2026