vLLMvsCody

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

vLLM

Local AI Infrastructure

High-throughput LLM serving engine

Full review →Website ↗

Cody

Coding Assistants

AI coding assistant by Sourcegraph with codebase context

Full review →Website ↗
FeaturevLLMCody
CategoryLocal AI InfrastructureCoding Assistants
PricingFree (open-source)Free + Pro $9/mo
GitHub Stars
✓ More stars
45k
5k
PlatformsLinuxmacOS, Linux, Windows
Key Features
  • ✓ PagedAttention
  • ✓ Continuous batching
  • ✓ Tensor parallelism
  • ✓ OpenAI-compatible API
  • ✓ Multi-GPU
  • ✓ Quantization
  • ✓ Codebase context
  • ✓ Code search
  • ✓ Autocomplete
  • ✓ Chat
  • ✓ Multi-repo
Pros
  • + Extremely fast inference
  • + Efficient GPU memory usage
  • + OpenAI-compatible API
  • + Continuous batching
  • + Production-ready
  • + Deep codebase context
  • + Multi-repo understanding
  • + Code search integration
  • + Free tier available
  • + Privacy controls
Cons
  • − Requires NVIDIA GPU
  • − Complex setup for beginners
  • − Limited model format support
  • − Heavy resource requirements
  • − Best with Sourcegraph (less useful standalone)
  • − Smaller model selection
  • − Enterprise pricing
  • − Less known than Copilot
Tags
open-sourceinferenceservinggpuhigh-throughput
codingsourcegraphcontextsearch

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