kitio.aiAdded Oct 28, 2026
SGLang
FreeFast open-source serving framework for LLMs and vision models
What is SGLang?
SGLang is an open-source serving framework for large language and vision-language models that focuses on speed for complex workloads. It is used by AI labs and inference providers to serve models like DeepSeek and Qwen at large scale.
Its RadixAttention reuses cached prefixes across requests, which speeds up agents, multi-turn chat and structured output. It supports expert and data parallelism for mixture-of-experts models, speculative decoding and an OpenAI-compatible API.
SGLang started at LMSYS and is free under the Apache 2.0 license, with contributors from many companies. It runs on NVIDIA and AMD GPUs as well as other accelerators.
Features
- RadixAttention caching
- Structured output
- MoE parallelism
- Speculative decoding
- OpenAI-compatible API
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Releases
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Organization
LMSYS
🇺🇸 United States
Listed by kitio.ai · unverified owner
Pricing
- Pricing model
- Free
- Paid options from
- 100% free
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Pros and cons
Pros
- Very fast on large MoE models
- Strong prefix caching
- Active development
Cons
- Needs server-class GPUs
- Docs assume expertise
- Fewer beginner guides than vLLM
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Q&A
What is SGLang?
SGLang is an open-source serving framework for large language and vision-language models that focuses on speed for complex workloads. It is used by AI labs and inference providers to serve models like DeepSeek and Qwen at large scale.
How much does SGLang cost?
SGLang is 100% free.
Is there a free version of SGLang?
Yes. SGLang is completely free to use.
What are the main features of SGLang?
RadixAttention caching, Structured output, MoE parallelism, Speculative decoding, OpenAI-compatible API.
Who makes SGLang?
SGLang is made by LMSYS.
What are the best alternatives to SGLang?
Popular alternatives include vLLM, llama.cpp, Beam.