kitio.aivLLM vs SGLang
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. vLLM starts at Free and SGLang starts at Free. Check both pricing pages for current plans.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- PagedAttention
- Continuous batching
- OpenAI-compatible server
- Multi-GPU parallelism
- LoRA serving
- RadixAttention caching
- Structured output
- MoE parallelism
- Speculative decoding
- OpenAI-compatible API
| Feature | vLLM | SGLang |
|---|---|---|
| Best for | High-throughput open-source engine for serving LLMs in production | Fast open-source serving framework for LLMs and vision models |
| Category | Models & APIs | Models & APIs |
| Pricing model | Free | Free |
| Starting price | Free | Free |
| Free plan | Yes, fully free | Yes, fully free |
| Made by | vLLM project | LMSYS |
| Based in | United States | United States |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
vLLM starts at Free and SGLang starts at Free. Check both pricing pages for current plans.
Free plan
Cheapest paid plan
Top plan
Free trial
Prices in USD, checked Oct 28, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
vLLM
- Excellent throughput
- Broad hardware support
- Industry-standard serving
- Needs server-class GPUs
- Many tuning flags
- Fast releases change defaults
SGLang
- Very fast on large MoE models
- Strong prefix caching
- Active development
- Needs server-class GPUs
- Docs assume expertise
- Fewer beginner guides than vLLM
Which one should you choose?
Choose vLLM if you want:
- Excellent throughput
- Broad hardware support
- Industry-standard serving
Watch out: needs server-class gpus.
Choose SGLang if you want:
- Very fast on large MoE models
- Strong prefix caching
- Active development
Watch out: needs server-class gpus.
vLLM vs SGLang FAQ
What is the difference between vLLM and SGLang?
vLLM: High-throughput open-source engine for serving LLMs in production. SGLang: Fast open-source serving framework for LLMs and vision models. Both are models & apis tools.
Is vLLM or SGLang cheaper?
vLLM starts at Free and SGLang starts at Free. Check both pricing pages for current plans.
Do vLLM and SGLang have free plans?
vLLM: Yes, fully free. SGLang: Yes, fully free.
Who makes vLLM?
vLLM is made by vLLM project, based in United States.
Who makes SGLang?
SGLang is made by LMSYS, based in United States.
Which should I choose, vLLM or SGLang?
Choose vLLM if you value excellent throughput and broad hardware support. Choose SGLang if you value very fast on large moe models and strong prefix caching.