sglang vs vllm

Common questions

What is the difference between sglang and vllm?

sglang: SGLang is a high-performance serving framework for large language models and multimodal models.. vllm: A high-throughput and memory-efficient inference and serving engine for LLMs. See the comparison table for live GitHub stats and shared categories.

When should I choose sglang over vllm?

Choose sglang over vllm when Requirements: SGLang supports various models including GPT, LLaMA, and Qwen, indicating a broad compatibility with different types of large language models.; SGLang and vllm both aim at providing easy and fast LLM serving solutions but use different approaches to achieve high performance in inference; Tags unique to sglang: attention, diffusion, glm; Use SGLang when you need a framework that supports high-performance serving for large language models and multimodal models, particularly if you are working with models like GPT, LLaMA, or Qwen.

When should I choose vllm over sglang?

Choose vllm over sglang when Requirements: Min 8 GB RAM; Installation can be done via uv pip install vllm or building from source for development purposes.; SGLang and vllm both aim at providing easy and fast LLM serving solutions but use different approaches to achieve high performance in inference; Tags unique to vllm: amd, deepseek-v3, gpt; When you need a high-throughput and memory-efficient inference engine for large language models, especially if you are working with a variety of hardware configurations including AMD, CUDA, and TPU.

When should I avoid sglang?

Avoid SGLang if your project does not require support for large language models or multimodal models, as its specialized features may not be beneficial. Do not use SGLang if your project is constrained by the Apache-2.0 license, as this may not align with your licensing requirements.

When should I avoid vllm?

If your project strictly requires a specific competitor's ecosystem or features that are not covered by vLLM, such as specialized model serving capabilities not supported by vLLM. When the project's hardware setup is incompatible with the supported hardware configurations of vLLM, such as certain non-supported GPU models or configurations.

Is sglang or vllm more popular on GitHub?

vllm has more GitHub stars (92,075 vs 36,123). Stars measure visibility, not whether either tool fits your constraints.

Are sglang and vllm open source?

Yes - both are open-source projects on GitHub (sglang: Apache-2.0, vllm: Apache-2.0).

Where can I find alternatives to sglang or vllm?

GraphCanon lists graph-backed alternatives at sglang alternatives and vllm alternatives (sglang markdown twin, vllm markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, sglang or vllm?

sglang: Very active. vllm: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for sglang and vllm?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: sglang trust report; vllm trust report.