Arize Phoenix vs Helicone Comparison
Detailed comparison of features, pricing, and capabilities
Last updated May 15, 2026
Overview
Compare key metrics and features at a glance
Arize Phoenix
https://phoenix.arize.com
Arize Phoenix is an open-source AI observability and evaluation platform developed by Arize AI, designed to help teams monitor, debug, and evaluate large language model (LLM) applications and machine learning models. It provides tools for tracing LLM calls, evaluating model outputs, visualizing embeddings, and identifying issues such as hallucinations, retrieval failures, and prompt problems. Phoenix supports integration with popular frameworks like LangChain, LlamaIndex, and OpenAI, enabling developers to gain deep insights into their AI pipelines throughout the development and production lifecycle.
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.
Quick Comparison
| Detail | Arize Phoenix | Helicone |
|---|---|---|
| Category | LLM observability | LLM observability |
| Starting Price | Free | Free |
| Plans Available | 4 | 4 |
| Features Tracked | 18 | 19 |
| Founded | 2020 | 2023 |
| Headquarters | San Francisco, USA | San Francisco, USA |
Features
Detailed feature-by-feature comparison
Feature Comparison
| Feature | | |
|---|---|---|
| api | ||
| LLM Evals SDKs | ||
| core | ||
| Caching | ||
| Cloud Access | ||
| Cost Tracking | ||
| Evals | ||
| Experiments and A/B Testing | ||
| Failure and Regression Detection | ||
| Gateway | ||
| LLM Observability | ||
| LLM Tracing | ||
| Model Routing / Provider Selection | ||
| Open Source Core | ||
| Performance Metrics | ||
| Performance Monitoring | ||
| Playground | ||
| Prompt Evaluation | ||
| Prompt Management | ||
| Request Logging | ||
| Self‑Hosted Deployment | ||
| Tracing | ||
| Vendor‑Agnostic Observability | ||
| custom | ||
| Extensible Plugin System | ||
| Open Source Platform | ||
| integration | ||
| Analytics Export | ||
| Fine-tuning Integrations | ||
| Framework Auto‑Instrumentation | ||
| Integration with Arize Production Platform | ||
| Integrations for Major LLM Providers | ||
| LLM Provider Support | ||
| Multi-Model Access | ||
| Multi‑Language Support | ||
| Notebook Integration | ||
| OpenInference Instrumentation | ||
| OpenTelemetry Integration | ||
| OpenTelemetry Support | ||
| security | ||
| LLM Security / Threat Detection | ||
| Rate Limiting | ||
Pricing
Compare pricing plans and value for money
Arize Phoenix
From $0/mo
Price Components
- Open Source: $0/month
- Trace spans: $0/span (25000 included)
- Ingestion volume: $0/GB (1 included)
- Included GB: $0/GB (100 included)
- Base Fee: $50/month
Best For
Teams building LLM or RAG apps that want open-source observability, deep trace-level debugging, and a path from local development to enterprise deployment.
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.
Integrations
See which third-party services are supported
Supported Integrations
Coming Soon
Integration comparison data for Arize Phoenix, Helicone is being collected and will be available soon.
Strengths & Limitations
Key strengths and limitations of each service
Arize Phoenix
Teams building LLM or RAG apps that want open-source observability, deep trace-level debugging, and a path from local development to enterprise deployment.
- Open-source and self-hostable, with OpenTelemetry-based tracing that keeps telemetry in your own stack.
- Strong debugging for RAG and agent workflows, with traces, embedding analysis, and LLM-as-judge evals.
- Broad framework support for LangChain, LlamaIndex, OpenAI, and custom Python apps with minimal code changes.
- Low-friction entry points: free AX for individuals, AX Pro at $50/month, and enterprise SaaS or self-hosted options.
- Managed collaboration and long-term production features live in AX, so pure Phoenix can feel lighter than full SaaS suites.
- Best-in-class observability depth still depends on instrumentation quality and tracing coverage in your app.
- The open-source core is strong for evaluation and debugging, but enterprise governance needs paid AX plans.
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
Company Info
Company details and background
Arize Phoenix
Helicone
Comparison FAQ
Common questions about comparing Arize Phoenix and Helicone
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