What is the best modern alternative to vllm-project/vllm for efficient large language model inference?
Looking for a modern alternative to vllm-project/vllm for efficient large language model inference? SGLang stands out as a top contender with a solid blend of performance, maintenance, and community backing. But TensorRT LLM and LiteRT-LM also offer compelling options tailored for specific environments.
Key Contenders for LLM Inference
| Project |
Stars |
Language |
Last Update |
License |
Maintenance |
Notes |
| SGLang |
35,598 |
Python |
2026-09-07 |
Apache-2.0 |
✅ Actively maintained |
High-performance serving for LLMs, multimodal support. |
| TensorRT LLM |
14,564 |
Python |
2026-09-07 |
NOASSERTION |
✅ Actively maintained |
Focused on optimizations for NVIDIA GPUs. |
| LiteRT-LM |
6,390 |
C++ |
2026-09-07 |
Apache-2.0 |
✅ Actively maintained |
Designed for edge devices, supports multi-modality. |
| LightLLM |
4,275 |
Python |
2026-09-07 |
Apache-2.0 |
✅ Actively maintained |
Lightweight and fast, combines features from multiple frameworks. |
| Chitu |
2,997 |
Python |
2026-09-07 |
Apache-2.0 |
✅ Actively maintained |
Focuses on efficiency and flexibility in LLM deployment. |
Detailed Insights
1. SGLang
- Stars: 35,598
- Latest Update: Pushed on 2026-09-07 (0 days ago)
- License: Apache-2.0
- Maintenance Status: Actively maintained with 5147 open issues.
- Overview: It's positioned as a high-performance serving framework capable of handling large and multimodal models efficiently. Great choice if you're looking to support diverse model types.
2. TensorRT LLM
- Stars: 14,564
- Latest Update: Pushed on 2026-09-07 (0 days ago)
- License: NOASSERTION
- Maintenance Status: Actively maintained with 1486 open issues.
- Overview: Built to optimize inference specifically for NVIDIA GPUs, this is a solid pick if you're working within the NVIDIA ecosystem.
3. LiteRT-LM
- Stars: 6,390
- Latest Update: Pushed on 2026-09-07 (0 days ago)
- License: Apache-2.0
- Maintenance Status: Actively maintained with 614 open issues.
- Overview: This option excels for edge device deployments and incorporates functionalities for both vision and audio inputs, making it versatile for cross-platform applications.
4. LightLLM
- Stars: 4,275
- Latest Update: Pushed on 2026-09-07 (0 days ago)
- License: Apache-2.0
- Maintenance Status: Actively maintained with 153 open issues.
- Overview: A lightweight design makes LightLLM an excellent option for high-speed performance and easy scalability. It uses components from notable frameworks, providing flexibility and ease of integration.
5. Chitu
- Stars: 2,997
- Latest Update: Pushed on 2026-09-07 (0 days ago)
- License: Apache-2.0
- Maintenance Status: Actively maintained with 57 open issues.
- Overview: Focused on enterprise needs, Chitu provides a highly efficient inference framework with extensive hardware compatibility.
Verdict
- Choose SGLang if you need a versatile, high-performance framework that supports a variety of language models. Its community engagement and continual improvements are a plus.
- Opt for TensorRT LLM if you are specifically geared towards NVIDIA machines with an emphasis on optimization.
- Select LiteRT-LM for edge deployments, especially if cross-platform compatibility is vital.
- LightLLM offers a lightweight approach with high scalability, ideal for environments where performance is critical without unnecessary overhead.
In a crowded field, SGLang is currently the best modern alternative to vllm-project/vllm, especially for projects demanding robust performance coupled with frequent updates.