LiteLLMvsCody

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 ↗

Cody

Coding Assistants

AI coding assistant by Sourcegraph with codebase context

Full review →Website ↗
FeatureLiteLLMCody
CategoryLLM APIs & InferenceCoding Assistants
PricingFree (open-source), hosted proxy availableFree + Pro $9/mo
GitHub Stars
✓ More stars
16k
5k
PlatformsLinux, macOS, DockermacOS, Linux, Windows
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
  • ✓ Codebase context
  • ✓ Code search
  • ✓ Autocomplete
  • ✓ Chat
  • ✓ Multi-repo
Pros
  • + One API for 100+ providers
  • + Built-in load balancing and fallbacks
  • + Spend tracking and rate limiting
  • + OpenAI SDK compatible
  • + Deep codebase context
  • + Multi-repo understanding
  • + Code search integration
  • + Free tier available
  • + Privacy controls
Cons
  • − Adds a proxy layer (slight latency)
  • − Complex config for advanced features
  • − Best with Sourcegraph (less useful standalone)
  • − Smaller model selection
  • − Enterprise pricing
  • − Less known than Copilot
Tags
api-gatewaymulti-providerproxyopen-source
codingsourcegraphcontextsearch

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