LocalAI vs SGLang

Short answer

LocalAI: OpenAI-compatible API for LLMs, vision, voice and images on any hardware. SGLang: Fast serving engine for LLMs and multimodal models on GPU servers, with an OpenAI-style API. Both are in our Local model runtimes category.

Choose LocalAI if you want: no GPU server needed.

LocalAI publishes no official RAM figure, so we cannot compare hosting cost directly.

Last updated · computed from each project's official docs and live GitHub data · sources

LocalAI vs SGLang side by side

LocalAISGLang
CategoryLocal model runtimesLocal model runtimes
What it isOpenAI-compatible API for LLMs, vision, voice and images on any hardware.Fast serving engine for LLMs and multimodal models on GPU servers, with an OpenAI-style API.
LicenseMITApache-2.0
License typePermissivePermissive
License conditionsPermissive. Internal and commercial use allowed. Models keep their own licenses.Permissive. Internal and commercial use allowed. Models keep their own licenses.
StatusActiveActive
GitHub stars50.1k38.3k
Last commitOct 30, 2026Oct 31, 2026
Latest releasev4.12.1v0.5.22
Minimum hardwareNot publishedNot published
Recommended hardwareNot publishedNot published
RAM measured by usNot tested yetNot tested yet
GPUOptional. Images exist for NVIDIA CUDA 12/13, AMD ROCm, Intel oneAPI and CPU-only.Yes for the documented install path: Linux with a supported NVIDIA GPU and a CUDA 13-compatible driver. The project also documents AMD Instinct, Google TPU, Intel GPU and Xeon CPU, Ascend NPU and other platforms on separate hardware pages.
Est. server costNot estimatedGPU server (not estimated)
Deploy methodDockerDocker (NVIDIA GPU)
Known gotchas1 listed4 listed
TelemetryNot documentedNot documented
Calls home by defaultNot documentedNot documented
SSO (OIDC / SAML / LDAP)Free (OIDC free)Not documented
Audit logNot documentedNot documented
RBACYes, freeNot documented
DetailsFull LocalAI guide →Full SGLang guide →

Key differences

  • License: LocalAI: MIT (Permissive). SGLang: Apache-2.0 (Permissive).
  • GPU: LocalAI: optional / see notes. SGLang: needed for practical use.
  • Est. server cost: LocalAI: not estimated (no official RAM figure). SGLang: GPU server (not estimated).
  • Deploy: LocalAI: Docker · single container. SGLang: Docker (NVIDIA GPU) · single container.
  • GitHub stars: LocalAI: 50.1k. SGLang: 38.3k.
  • Last commit: LocalAI: Oct 30, 2026. SGLang: Oct 31, 2026.
  • Latest release: LocalAI: v4.12.1 (Oct 23, 2026). SGLang: v0.5.22 (Oct 19, 2026).

Same for both: Category: Local model runtimes; Official hardware: not published; Status: Active.

LocalAI vs SGLang: FAQ

LocalAI or SGLang: which should a small business choose?

Choose LocalAI if you want: no GPU server needed. LocalAI publishes no official RAM figure, so we cannot compare hosting cost directly.

Which is cheaper to self-host, LocalAI or SGLang?

LocalAI: not estimated (no official RAM figure). SGLang: GPU server (not estimated). Our estimate is the cheapest Hetzner Cloud plan that meets each project's official RAM and vCPU figure; it covers the server only.

How much hardware do LocalAI and SGLang need?

LocalAI: not published. SGLang: not published. SGLang needs a GPU for practical use.

What is the license difference between LocalAI and SGLang?

LocalAI: MIT (Permissive). Permissive. Internal and commercial use allowed. Models keep their own licenses. SGLang: Apache-2.0 (Permissive). Permissive. Internal and commercial use allowed. Models keep their own licenses. This is a summary, not legal advice.

Is LocalAI or SGLang more actively maintained?

LocalAI: Active, last commit Oct 30, 2026. SGLang: Active, last commit Oct 31, 2026. GitHub data refreshed Oct 31, 2026.

Which is easier to deploy, LocalAI or SGLang?

LocalAI installs via Docker (single container); SGLang via Docker (NVIDIA GPU) (single container). LocalAI lists 1 known gotcha and SGLang lists 4; see each app page.

Related

Sources

Every value is generated from the same verified data as the app pages. Spotted something wrong? Tell us.