Fireworks AIvsLiteLLM

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

Fireworks AI

LLM APIs & Inference

Fast and efficient LLM inference platform

LiteLLM

LLM APIs & Inference

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

FeatureFireworks AILiteLLM
CategoryLLM APIs & InferenceLLM APIs & Inference
PricingPay-per-useFree (open-source), hosted proxy available
GitHub Stars
More stars
16k
PlatformsWebLinux, macOS, Docker
Key Features
  • Fast inference
  • Fine-tuning
  • Function calling
  • JSON mode
  • Batch API
  • 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
  • + Fast inference speeds
  • + Function calling support
  • + JSON mode
  • + Competitive pricing
  • + Batch API
  • + One API for 100+ providers
  • + Built-in load balancing and fallbacks
  • + Spend tracking and rate limiting
  • + OpenAI SDK compatible
Cons
  • Smaller model selection
  • Less known brand
  • Documentation could improve
  • No free tier for inference
  • Adds a proxy layer (slight latency)
  • Complex config for advanced features
Tags
inferencefastcloudapi
api-gatewaymulti-providerproxyopen-source

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