SGLang

6.3easy start · #19 of 33
in LLM Gateway Software

Free to practise onnot on record
Free trialnot on record
Well documentedyes
Runs where you worknot on record

Runs on api, Linux, Mac, self-hosted.

SGLang is ranked #19 of 33 in LLM gateway software on The Geeks Club. It runs on API, Linux, macOS, Self-hosted. There is a free plan.

SGLang plans and pricing

All plans

SGLang Free Open-source inference framework · install with pip or Docker github.com · 8 Oct 2026

Compared on LLM gateway software

Free plan: Yes
Deployment mode: dedicated
GPU accelerators: Yes
Supported model formats: safetensors, PyTorch .bin, GGUF, Mistral native
Batch inference: Yes

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The record

Purpose: SGLang is an open-source inference framework for serving large language, vision-language, and diffusion models.
Use cases: The framework is optimized for agentic workloads, reinforcement-learning rollouts, and large-scale serving.
Performance: SGLang is designed for low-latency, high-throughput inference from a single GPU to distributed clusters.
Runtime features: Its runtime includes RadixAttention, prefix caching, and multi-GPU parallelism.
Optimizations: The product site lists disaggregated prefill and decode, speculative decoding, parallelism, a zero-overhead scheduler, and optimized GPU kernels.
Model support: The product site lists support for DeepSeek, Qwen, GPT-OSS, Llama, Mistral, and GLM models.
API compatibility: SGLang is compatible with Hugging Face and OpenAI APIs, and its site describes OpenAI-compatible endpoints.
Hardware: The project lists support for NVIDIA and AMD GPUs, Google TPUs, Intel GPUs and CPUs, Apple Silicon, Huawei Ascend NPUs, and Moore Threads GPUs.
Installation: The project can be installed with Python tooling or run from a Docker image.
Diffusion: SGLang Diffusion is a built-in image and video generation engine included in the repository and Python package.
Ecosystem integrations: The project lists integrations with the RL frameworks Miles, slime, AReaL, Tunix, and verl for rollout generation.
Security: The repository identifies its license as Apache-2.0.
Community support: The documentation directs technical questions and development discussions to the SGLang Slack community.
Hardware support: The project README lists NVIDIA and AMD GPUs, Google TPUs, Intel GPUs and CPUs, Apple Silicon, Huawei Ascend NPUs, and Moore Threads GPUs.
Price from: Free

Where it ranks on The Geeks Club

Best LLM Gateway Software in 2026#19 of 33

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Sources

github.com/sgl-project/sglang· checked 8 Oct 2026
docs.sglang.io· checked 8 Oct 2026
sglang.io· checked 8 Oct 2026