Helicone vs Langfuse Comparison
Detailed comparison of features, pricing, and capabilities
Last updated May 15, 2026
Overview
Compare key metrics and features at a glance
Helicone
https://www.helicone.ai
Helicone is an open-source LLM observability and monitoring platform that allows developers to log, monitor, and debug their large language model applications with a single line of code. It provides features such as request logging, cost tracking, prompt management, caching, and rate limiting for AI applications built on top of providers like OpenAI, Anthropic, and others. Helicone is designed to help teams gain visibility into their AI usage, optimize performance, and reduce costs in production environments.
Langfuse
https://langfuse.com
Langfuse is an open-source LLM engineering platform that provides observability, analytics, and monitoring tools for AI applications built on large language models. It enables developers to trace LLM calls, evaluate model outputs, manage prompts, and debug production issues through a comprehensive dashboard and SDK integrations. The platform supports popular frameworks like LangChain, LlamaIndex, and OpenAI, and can be used as a cloud-hosted service or self-hosted deployment.
Quick Comparison
| Detail | Helicone | Langfuse |
|---|---|---|
| Category | LLM observability | LLM observability |
| Starting Price | Free | Free |
| Plans Available | 4 | 4 |
| Features Tracked | 19 | 19 |
| Founded | 2023 | 2023 |
| Headquarters | San Francisco, USA | Berlin, Germany |
Features
Detailed feature-by-feature comparison
Feature Comparison
| Feature | | |
|---|---|---|
| compliance | ||
| Compliance Certifications | ||
| core | ||
| Analytics Dashboard | ||
| Caching | ||
| Cloud-Hosted SaaS | ||
| Cost Tracking | ||
| Evals | ||
| Evaluation Framework | ||
| Experiments | ||
| Gateway | ||
| LLM Observability | ||
| LLM Tracing | ||
| Model Routing / Provider Selection | ||
| Performance Metrics | ||
| Playground | ||
| Prompt Management | ||
| Request Logging | ||
| Session and User Tracking | ||
| Tracing | ||
| User Feedback Tracking | ||
| custom | ||
| Open Source Platform | ||
| Self-Hosted Deployment | ||
| integration | ||
| Analytics Export | ||
| Fine-tuning Integrations | ||
| Framework Integrations | ||
| Integrations for Major LLM Providers | ||
| LLM Gateway Compatibility | ||
| Multi-Model Access | ||
| OpenTelemetry Support | ||
| Python SDK | ||
| TypeScript SDK | ||
| security | ||
| Authentication and SSO | ||
| Automated Provisioning / SCIM | ||
| Data Masking | ||
| LLM Security / Threat Detection | ||
| Project-level RBAC | ||
| Rate Limiting | ||
Pricing
Compare pricing plans and value for money
Helicone
From $0/mo
Price Components
- base_fee: $0/month
- requests: $0/request (10000 included)
- storage: $0/GB (1 included)
- seats: $0/seat (1 included)
- base_fee: $79/month
Best For
Development teams building AI applications on multiple LLM providers who need fast observability setup, cost transparency, and prefer open-source solutions with self-hosting flexibility.
Langfuse
From $0/mo
Price Components
- base_fee: $0/month
- units: $0/unit (50000 included)
- users: $0/user (2 included)
- base_fee: $29/month
- units: $0/unit (100000 included)
Best For
Development teams prioritizing cost transparency, prompt iteration, and production debugging without framework lock-in or data residency constraints.
Integrations
See which third-party services are supported
Supported Integrations
Coming Soon
Integration comparison data for Helicone, Langfuse is being collected and will be available soon.
Strengths & Limitations
Key strengths and limitations of each service
Helicone
Development teams building AI applications on multiple LLM providers who need fast observability setup, cost transparency, and prefer open-source solutions with self-hosting flexibility.
- One-line integration with 100+ LLM providers (OpenAI, Anthropic, Gemini, AWS Bedrock) eliminates complex setup overhead compared to competitors requiring extensive configuration
- Open-source architecture with self-hosting option provides data sovereignty and cost control that proprietary competitors like Langfuse cannot match for enterprise deployments
- Integrated AI gateway with request routing, caching, and rate limiting reduces need for separate infrastructure tools, bundling observability with operational controls in one platform
- Small team (1-10 employees) and seed-stage funding may limit feature velocity and long-term product roadmap reliability compared to well-funded competitors
- Pricing jumps significantly from $79/month (Pro) to $799/month (Team), creating a steep gap for mid-market companies without enterprise negotiation options
Langfuse
Development teams prioritizing cost transparency, prompt iteration, and production debugging without framework lock-in or data residency constraints.
- Open-source with MIT license and self-hosting option via Postgres + ClickHouse, eliminating vendor lock-in and data residency concerns
- ClickHouse acquisition (Jan 2026) dramatically improves trace query performance at scale with 10B+ observations/month capacity
- Most generous free tier in industry (50K units/month, 30-day retention, 2 users) with framework-agnostic OpenTelemetry support across 50+ integrations
- Self-hosting requires infrastructure expertise and maintenance overhead; enterprise-grade on-premise deployments differ significantly from OSS deployments
- Pricing jumps substantially from $29/month (Core) to $199/month (Pro) with limited mid-market tier options for growing teams
Company Info
Company details and background
Helicone
Langfuse
Comparison FAQ
Common questions about comparing Helicone and Langfuse
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