Ramp Router vs SGLang
Ramp Router
router.comSGLang
sglang.ioSide by side
| Figure | Ramp Router | SGLang |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · LLM Gateway Software | 7.5 (#25) | 8.1 (#12) |
| Spec score · LLM gateways | 7.4 (#25) | 8.4 (#11) |
| API compatibility | Router has OpenAI- and Anthropic-compatible APIs, and the FAQ says switching can be done by changing the base URL. | SGLang is compatible with Hugging Face and OpenAI APIs, and its site describes OpenAI-compatible endpoints. |
| Purpose | Ramp Router provides one endpoint for accessing multiple AI models and routes requests based on quality, cost, and availability. | SGLang is an open-source inference framework for serving large language, vision-language, and diffusion models. |
Plans
In their own words
Ramp Router
Ramp Router has no write-up on Specifiction yet; its figures are above.
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.