LiteLLMvsHaystack

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

LiteLLM

LLM APIs & Inference

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

Full review →Website ↗

Haystack

Data & ETL

Open-source LLM framework for building NLP pipelines

Full review →Website ↗
FeatureLiteLLMHaystack
CategoryLLM APIs & InferenceData & ETL
PricingFree (open-source), hosted proxy availableFree (open-source)
GitHub Stars
16k
✓ More stars
18k
PlatformsLinux, macOS, DockerLinux, macOS, Windows, Docker
Key Features
  • ✓ 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
  • ✓ Pipeline builder
  • ✓ RAG
  • ✓ Document processing
  • ✓ Model serving
  • ✓ REST API
Pros
  • + One API for 100+ providers
  • + Built-in load balancing and fallbacks
  • + Spend tracking and rate limiting
  • + OpenAI SDK compatible
  • + Production-grade RAG pipelines
  • + Clean pipeline abstraction
  • + Strong documentation
  • + Multiple backend support
  • + Enterprise ready
Cons
  • − Adds a proxy layer (slight latency)
  • − Complex config for advanced features
  • − Steeper learning curve than LlamaIndex
  • − Less community content
  • − Breaking changes between versions
  • − Heavy framework
Tags
api-gatewaymulti-providerproxyopen-source
ragnlppipelineopen-source

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