Together AIvsLiteLLM

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

Together AI

LLM APIs & Inference

Fast inference and fine-tuning for open-source models

Full review →Website ↗

LiteLLM

LLM APIs & Inference

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

Full review →Website ↗
FeatureTogether 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
  • ✓ Open models
  • ✓ Serverless
  • ✓ Dedicated
  • ✓ 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
  • + Competitive pricing
  • + Fast inference speeds
  • + Fine-tuning support
  • + Latest open models
  • + Serverless + dedicated options
  • + One API for 100+ providers
  • + Built-in load balancing and fallbacks
  • + Spend tracking and rate limiting
  • + OpenAI SDK compatible
Cons
  • − Smaller model selection than Replicate
  • − Less community features
  • − Documentation could be better
  • − No free tier for inference
  • − Adds a proxy layer (slight latency)
  • − Complex config for advanced features
Tags
inferencecloudfastopen-models
api-gatewaymulti-providerproxyopen-source

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