kitio.aiNVIDIA NIM vs SGLang
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. SGLang is completely free, while NVIDIA NIM is freemium.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Optimized model containers
- Hosted API catalog
- OpenAI-compatible endpoints
- Retrieval microservices
- Free prototyping credits
- RadixAttention caching
- Structured output
- MoE parallelism
- Speculative decoding
- OpenAI-compatible API
| Feature | NVIDIA NIM | SGLang |
|---|---|---|
| Best for | NVIDIA's optimized model containers and hosted API catalog | Fast open-source serving framework for LLMs and vision models |
| Category | Models & APIs | Models & APIs |
| Pricing model | Freemium | Free |
| Starting price | See pricing page | Free |
| Free plan | Yes | Yes, fully free |
| Made by | NVIDIA | LMSYS |
| Based in | United States | United States |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
SGLang is completely free, while NVIDIA NIM is freemium.
Free plan
Cheapest paid plan
Top plan
Free trial
2 plans
Developer Program
Free
- Free NIM API access for prototyping
- Self-host NIM for development
NVIDIA AI Enterprise
$4,500 / GPU / yr
- Production NIM deployment
- Enterprise support and security updates
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
NVIDIA NIM
- High throughput on NVIDIA GPUs
- Easy to try models in browser
- Wide model catalog
- Production use needs a paid license
- Tied to NVIDIA hardware
- Setup is heavy for small teams
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 NVIDIA NIM if you want:
- High throughput on NVIDIA GPUs
- Easy to try models in browser
- Wide model catalog
Watch out: production use needs a paid license.
Choose SGLang if you want:
- Very fast on large MoE models
- Strong prefix caching
- Active development
Watch out: needs server-class gpus.
NVIDIA NIM vs SGLang FAQ
What is the difference between NVIDIA NIM and SGLang?
NVIDIA NIM: NVIDIA's optimized model containers and hosted API catalog. SGLang: Fast open-source serving framework for LLMs and vision models. Both are models & apis tools.
Is NVIDIA NIM or SGLang cheaper?
SGLang is completely free, while NVIDIA NIM is freemium.
Do NVIDIA NIM and SGLang have free plans?
NVIDIA NIM: Yes. SGLang: Yes, fully free.
Who makes NVIDIA NIM?
NVIDIA NIM is made by NVIDIA, based in United States.
Who makes SGLang?
SGLang is made by LMSYS, based in United States.
Which should I choose, NVIDIA NIM or SGLang?
Choose NVIDIA NIM if you value high throughput on nvidia gpus and easy to try models in browser. Choose SGLang if you value very fast on large moe models and strong prefix caching.