A agentindex
Comparison

Ollama vs SGLang

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

Ollama

Run large language models locally with one command.

  • + Easiest path to running models locally
  • + Huge model library and OpenAI-compatible API
  • − Less throughput than dedicated serving engines
  • − Local hardware limits model size

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 Ollama SGLang
Role Inference engine Inference engine
Tags inference-engine inference-engine
License MIT 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 local, multi multi
Languages go python
GitHub stars 175.4k 29.9k
Last activity 2026-07-04 2026-07-04