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SGLang

● Identity checked

Code · Vendor site 2026-10-04

SGLang is an open-source high-performance serving framework for large language and multimodal models with optimized schedulers, speculative decoding, and disaggregated prefill. Teams install via pip or Docker, launch OpenAI-compatible servers, and scale from single GPUs to distributed clusters.

Updated 2026-10-04View sources
Official website
Category
Code
Free access
Open-source framework with pip and Docker install instructions on the official site.
API access
Documentation describes OpenAI-compatible HTTP endpoints after launching the SGLang server.

Is SGLang right for you?

A good fit for

ML platform engineers deploying low-latency LLM and multimodal inference on diverse GPU and accelerator hardware.

Before you choose

Production hosting costs depend on your own cloud or on-prem hardware; the framework itself is not a managed SaaS tier.

Fast open-source LLM serving

SGLang packages production-oriented inference optimizations and OpenAI-compatible APIs for multimodal model deployments.

What it can do

Features & capabilities

Unknown is different from unavailable. Each fact carries its own evidence.

CapabilityValueEvidenceChecked
OptimizationsHomepage highlights disaggregated prefill/decode, speculative decoding, parallelisms, and custom GPU kernels.Facts sourced2026-10-04
Model supportSite lists broad open-model coverage including DeepSeek, Qwen, Llama, Mistral, and diffusion models.Facts sourced2026-10-04
Quick startGet Started section documents pip/uv install commands and launching a server pointed at a model checkpoint.Facts sourced2026-10-04

Understand the total cost

SGLang pricing & plans

Free

Free

Open-source framework with pip and Docker install instructions on the official site.

Access
Open-source framework with pip and Docker install instructions on the official site.
Explore pricing & history

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The practical questions

Frequently asked questions

What is SGLang used for?

SGLang is an open-source high-performance serving framework for large language and multimodal models with optimized schedulers, speculative decoding, and disaggregated prefill. Teams install via pip or Docker, launch OpenAI-compatible servers, and scale from single GPUs to distributed clusters.

Does SGLang have a free plan?

Open-source framework with pip and Docker install instructions on the official site.. This record lists ongoing free access; check the plan limits before starting.

How much does SGLang cost?

No paid monthly price is listed; this record treats the product as free to start. See the plan cards for entitlements, billing commitments and seat minimums.

Can I use SGLang through an API?

Documentation describes OpenAI-compatible HTTP endpoints after launching the SGLang server.. API access and subscription access may have different terms; consult the linked sources.

What should I check before choosing it?

Production hosting costs depend on your own cloud or on-prem hardware; the framework itself is not a managed SaaS tier.

Price history

No retained pricing changes yet. A current price alone does not establish a historical trend.

How this profile is supported

Facts apply to the named version and check date. Send a sourced correction if something changed.