Head-to-head
SGLang vs vLLM
vLLM leads: the AI models rank it above its rival on 2 of 2 shared leaderboards. Based on how ChatGPT, Claude, Gemini & Grok rank both across 2 shared leaderboards — re-polled weekly, reasoning shown verbatim.
| Leaderboard | SGLang | vLLM |
|---|---|---|
| Best LLM inference server for self-hosting | #2 / 7 | #1 / 7 |
| Best open-source LLM serving stack | #2 / 7 | #1 / 7 |
Why the models rank SGLang — on best llm inference server for self-hosting
“Often the performance leader for cache-heavy agents, long shared prompts, structured generation, and large MoE deployments; RadixAttention, aggressive prefix reuse, disaggregated serving, speculative decoding, and strong multi-GPU scaling make it a near-tie with vLLM”
Why the models rank vLLM — on best llm inference server for self-hosting
“Best overall for typical production self-hosting: broad model and accelerator support, excellent continuous batching and KV-cache efficiency, extensive quantization, distributed parallelism, speculative decoding, and mature OpenAI-compatible APIs; near-tied with SGLang, but its wider ecosystem and dependable defaults win”
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Ranks from the merged 4-model leaderboards · re-polled weekly · methodology