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Harsh Desai

Reviewed by Harsh Desai · Last reviewed:

Helicone

An open-source platform that logs LLM requests and cuts AI costs with smart caching and analytics.

Data & InfrastructureFreemium8.1/10

Best for

AI DevelopersML EngineersAI Product Teams

What does Helicone do?

  • Open-source core fully open codebase on GitHub with community contributions and transparency.
  • Multi-provider support connects to OpenAI, Anthropic, Groq, Mistral, Gemini, Together AI and 10 more.
  • Real-time monitoring tracks every request and response with instant dashboards and live views.
  • Token usage tracking logs exact tokens used per call and breaks down spend by model.
  • Cost analytics delivers detailed reports showing monthly spend and optimization opportunities.
  • Model output caching stores responses to avoid repeat API calls and reduce latency and cost.
  • HQL query language runs custom searches across logs with SQL-like syntax for deep analysis.
  • Alerts and reports sets automatic notifications and scheduled summaries for key metrics.
  • Compliance toolkit includes SOC-2, HIPAA controls and audit logs for regulated teams.
  • Self-hosting option deploy on-prem or in your VPC with full data control and no egress fees.
  • Enterprise routing intelligently directs traffic across providers for best price and performance.
  • Output Caching Reduce latency by 40% and cut costs via intelligent caching across OpenAI, Anthropic, Groq and Mistral integrations.
  • Enterprise Deployment Deploy on-prem with full data control and receive bulk discounts tailored for large-scale AI teams.
  • Advanced Analytics Leverage HQL-powered reports to analyze production traffic patterns from 10k+ daily LLM requests.
  • YC-Backed Platform Join fastest-growing AI companies using the Product of the Day observability tool for debugging and routing.

Pricing:

  • Hobby $0/mo 10000 requests, 1 GB storage, 1 seat and basic logging.
  • Pro $79/mo unlimited seats, alerts, reports, HQL and usage-based pricing on top.
  • Team $799/mo 5 organizations, SOC-2 and HIPAA, dedicated Slack support and usage-based pricing.
  • Enterprise Custom SAML SSO, on-prem deployment, custom MSA and bulk discounts for high volume.

What are Helicone's limitations?

  • Request cap free tier stops at 10000 requests/mo and requires upgrade.
  • Usage fees pay-as-you-go charges stack on top of base plans and grow at high scale.
  • Tiered features advanced compliance and multi-org tools only appear at Team level or above.
  • Setup effort self-hosting and on-prem need engineering time for maintenance and updates.

Our Verdict

For the Vibe Builder, Helicone delivers an elegant open-source observability layer that turns chaotic LLM experimentation into a visually satisfying playground. Its clean dashboards and request tracing create an almost meditative flow state where prompt tweaks, cost curves, and latency patterns become intuitive design elements rather than dry metrics. The free hobby tier removes friction for solo creators who want to ship delightful AI experiences without staring at spreadsheets. With thoughtful defaults and minimal configuration, it feels like a creative partner that quietly surfaces the soul of your application.

For the Developer, Helicone provides battle-tested instrumentation that drops into existing codebases with just a few lines and instantly opens up detailed logging, caching analytics, and cost attribution across multiple providers. Its HQL query language on paid tiers lets engineers slice through millions of traces with SQL-like precision while the open-source core ensures data never leaves your control if self-hosted. Real-time alerts, usage-based billing transparency, and smooth integration with popular frameworks accelerate debugging cycles from hours to minutes. The combination of lightweight SDKs and rich export options makes it a dependable foundation for production LLM systems that must remain observable at scale.

One honest limitation is that the free tier is tightly capped at 10,000 requests per month while usage-based fees on top of every plan can add up quickly once traffic grows; advanced compliance features such as SOC-2, HIPAA, SAML SSO, and multi-organization support remain locked behind the higher Team or Enterprise tiers. Self-hosting and on-prem deployments also require significant setup and ongoing maintenance that smaller teams may find burdensome. Overall the platform earns a solid 8.1/10 because it strikes an attractive balance for most use cases yet still leaves power users wanting more flexibility at lower price points.

Skip it if you need enterprise-grade compliance out of the box or prefer a fully managed solution with zero infrastructure overhead and should consider Langfuse instead.

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Frequently Asked Questions

What is Helicone and how does it help with LLM apps?

Helicone is an observability platform for LLM applications that provides detailed logging, monitoring, and analytics for your AI calls. It helps developers track costs, latency, error rates, and prompt performance across models like OpenAI and Anthropic. With features like caching and usage analytics, Helicone makes it easier to optimize and debug LLM apps in production.

Is there a free version of Helicone in 2026?

Yes, Helicone offers a free Hobby tier in 2026 with 10000 requests per month. This free version includes basic logging and 1 GB of storage for individuals getting started. It gives you a no-cost way to test the platform before considering paid upgrades.

Who should use Helicone for AI monitoring?

Teams building production LLM applications who need reliable monitoring, cost tracking, and performance insights should use Helicone for AI monitoring. It's especially useful for developers and organizations running high-volume AI workloads that require alerts, reports, and compliance features. Helicone fits well for both solo builders iterating quickly and larger teams needing enterprise-grade observability.

How does Helicone compare to Langfuse as an alternative?

Helicone and Langfuse both offer LLM observability but Helicone stands out with its focus on cost optimization, caching, and seamless OpenAI integration. While Langfuse emphasizes experiment tracking, Helicone provides stronger alerting, HQL querying, and compliance options like SOC-2. Many users switch to Helicone when they need more robust usage-based pricing and dedicated support at scale.

What is the full Helicone pricing for all tiers?

Helicone pricing includes a Hobby tier at $0/mo for basic use, the Pro plan at $79/mo with unlimited seats and alerts, and the Team tier at $799/mo that adds multiple organizations and HIPAA compliance. Every paid plan layers usage-based pricing on top for high volumes. Enterprise plans are custom with options like SAML SSO and bulk discounts.

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