HeliconevsLiteLLM

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Helicone

MLOps & Monitoring

Open-source LLM observability platform

LiteLLM

LLM APIs & Inference

Unified API proxy for 100+ LLM providers — one interface, any model

FeatureHeliconeLiteLLM
CategoryMLOps & MonitoringLLM APIs & Inference
PricingFree + Pro plansFree (open-source), hosted proxy available
GitHub Stars
3k
More stars
16k
PlatformsWebLinux, macOS, Docker
Key Features
  • Request logging
  • Cost tracking
  • Latency monitoring
  • Prompt management
  • User tracking
  • Unified API for 100+ LLM providers
  • Load balancing across multiple API keys/providers
  • Automatic fallbacks when providers fail
  • Spend tracking and budget alerts per team/project
  • Rate limiting and retry logic built-in
  • OpenAI SDK compatible — zero code changes
  • Self-hostable proxy server
  • Supports streaming, function calling, vision
Pros
  • + One-line integration
  • + Cost tracking
  • + Latency monitoring
  • + Prompt management
  • + Open-source
  • + One API for 100+ providers
  • + Built-in load balancing and fallbacks
  • + Spend tracking and rate limiting
  • + OpenAI SDK compatible
Cons
  • Limited free tier
  • Cloud-focused
  • Smaller feature set vs W&B
  • Less mature
  • Adds a proxy layer (slight latency)
  • Complex config for advanced features
Tags
observabilitymonitoringcostsopen-source
api-gatewaymulti-providerproxyopen-source

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