A agentindex
Comparison

LMDeploy vs SGLang

A like-for-like, spec-level comparison. Both entries are verified against their docs and repo.

LMDeploy

Efficient inference and serving for open models.

  • + Strong quantization and throughput optimizations
  • + Good support for InternLM and common open models
  • − Smaller community than vLLM
  • − Less Western documentation

SGLang

Fast serving and structured generation engine.

  • + Excellent for structured generation and multi-turn
  • + RadixAttention reuses shared prefixes efficiently
  • − Newer than vLLM, smaller ecosystem
  • − Requires GPU ops expertise
Spec LMDeploy SGLang
Role Inference engine Inference engine
Tags inference-engine inference-engine
License Apache-2.0 Apache-2.0
Open source Yes Yes
Self-hostable Yes Yes
MCP support No No
Pricing free free
Price Free Free
Usage cost No model cost No model cost
Models multi multi
Languages python, cpp python
GitHub stars 7.9k 29.9k
Last activity 2026-07-03 2026-07-04