LiteLLM vs Helicone

Detailed side-by-side comparison to help you choose the right tool

LiteLLM

🔴Developer

App Deployment

LiteLLM is a freemium, open-source AI gateway and unified API proxy for 100+ LLM providers, with a free self-hosted core and custom-priced Enterprise options. It gives production teams an OpenAI-compatible interface, load balancing, failovers, spend tracking, budget controls, and centralized model routing without rewriting provider-specific application code.

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Starting Price

Free

Helicone

🔴Developer

LLM Observability

Open-source LLM observability and AI gateway — logs every prompt, response, cost, and latency across 20+ providers with a one-line proxy or async SDK, plus caching, retries, and prompt experiments.

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Starting Price

Free

Feature Comparison

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FeatureLiteLLMHelicone
CategoryApp DeploymentLLM Observability
Pricing Plans8 tiers4 tiers
Starting PriceFreeFree
Key Features
  • Unified OpenAI-compatible API for 100+ LLM providers, documented at https://docs.litellm.ai/
  • Intelligent load balancing across providers and regions
  • Automatic failover with exponential backoff retries
  • Proxy-Based Request Logging
  • Cost Analytics & Budget Alerts
  • Gateway-Level Caching

LiteLLM - Pros & Cons

Pros

  • Provides a unified API proxy for 100+ LLM providers, reducing the need to maintain separate provider integrations in application code.
  • Uses an OpenAI-compatible interface, which can make it easier for teams already using OpenAI-style APIs to add or switch providers.
  • Includes production-oriented routing capabilities such as load balancing and automatic failovers.
  • Supports spend tracking and budget controls, which are important for managing unpredictable LLM usage costs.
  • Open-source positioning gives technical teams more transparency and deployment flexibility than a purely closed hosted gateway.
  • Fits centralized AI infrastructure use cases where multiple applications or teams need consistent provider access and governance.

Cons

  • Adding an AI gateway introduces another infrastructure component that must be deployed, configured, monitored, and kept reliable.
  • Teams using only one LLM provider may not benefit enough from routing, failover, and multi-provider abstraction to justify the extra layer.
  • Enterprise pricing is custom rather than transparent in the supplied metadata, so larger teams need a sales process to understand total cost.
  • The scraped website content provided here is hard-trimmed and does not include detailed public plan limits, SLA terms, or enterprise feature boundaries.
  • LiteLLM focuses on gateway and proxy infrastructure; teams looking primarily for prompt collaboration, evaluation workflows, or analytics dashboards may need complementary tools.

Helicone - 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

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🔒 Security & Compliance Comparison

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Security FeatureLiteLLMHelicone
SOC2✅ Yes
GDPR✅ Yes
HIPAA❌ No
SSO✅ Yes
Self-Hosted✅ Yes
On-Prem✅ Yes
RBAC✅ Yes
Audit Log✅ Yes
Open Source✅ Yes
API Key Auth✅ Yes
Encryption at Rest✅ Yes
Encryption in Transit✅ Yes
Data ResidencyUS, EU
Data Retentionconfigurable
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