SGLang vs ZenMux
SGLang
sglang.ioZenMux
zenmux.aiSide by side
| Figure | SGLang | ZenMux |
|---|---|---|
| Price from | Free | $20/mo |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 4 |
| Spec score · LLM gateways | 8.4 (#11) | 7.8 (#23) |
| Spec score · LLM Gateway Software | 8.1 (#12) | 7.5 (#27) |
| Integrations | The README lists deployment and orchestration integrations including Ray Serve, NVIDIA Dynamo, and llm-d. | The subscription guide lists integrations for Claude Code, CodeX, Cline, VS Code Copilot, OpenCode, Cherry Studio, Obsidian, Dify, and Open WebUI. |
| Support | The project points users to GitHub issues, Slack, Discord, and community discussions for questions and help. | ZenMux lists technical support by email and says it typically responds within 24 hours. |
Plans
In their own words
SGLang
SGLang is a free, open-source inference framework for serving large language, vision-language and diffusion models. It targets agentic workloads, reinforcement-learning rollouts and large-scale serving, from one GPU to distributed clusters. Runtime features include RadixAttention, prefix caching and multi-GPU parallelism. Listed optimizations include disaggregated prefill and decode, speculative decoding, a zero-overhead scheduler and optimized GPU kernels. Supported models include DeepSeek, Qwen, GPT-OSS, Llama, Mistral and GLM. SGLang works with Hugging Face and OpenAI APIs and exposes OpenAI-compatible endpoints. It installs with pip or Docker and supports self-hosted deployment. Hardware support spans NVIDIA and AMD GPUs, Google TPUs, Intel GPUs and CPUs, Apple Silicon, Huawei Ascend NPUs and Moore Threads GPUs. SGLang Diffusion adds image and video generation. The Apache-2.0 license permits open-source use.