# MLC LLM vs vLLM

**Leader by vioscaleAI score:** vLLM

| Attribute | MLC LLM | vLLM |
|---|---|---|
| **vioscaleAI score** | 45.4 (39% (low)) | 63.5 (58% (medium)) |
| activity.commits_last_30d | 14 | 100 |
| adoption.dependent_repos | 0 | 5 |
| adoption.github_stars | 23,247 | 93,797 |
| adoption.package_downloads_weekly | - | 463,948 |
| content.faq | `[{"answer":"An open-source machine learning compiler that enables developers to deploy and optimize large language models efficiently with a unified, OpenAI-compatible API. It is indexed under Model Serving.","source":"https://llm.mlc.ai","question":"What is MLC LLM?","confidence":0.6},{"answer":"MLC LLM is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.","source":"https://llm.mlc.ai","question":"Is MLC LLM free to use?","confidence":0.6},{"answer":"MLC LLM supports the web, Windows, macOS, Linux, iOS, Android and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://llm.mlc.ai","question":"What platforms does MLC LLM support?","confidence":0.6},{"answer":"Yes. MLC LLM can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://llm.mlc.ai","question":"Can MLC LLM be self-hosted?","confidence":0.6},{"answer":"Yes. MLC LLM is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/mlc-ai/mlc-llm","question":"Is MLC LLM open source?","confidence":0.95}]` | `[{"answer":"An open-source framework that provides optimized LLM inference with low latency and high throughput. It includes continuous batching, memory-efficient attention mechanisms, quantization support, and distributed serving across diverse hardware platforms. It is indexed under MLOps & LLMOps Tools.","source":"https://docs.vllm.ai","question":"What is vLLM?","confidence":0.6},{"answer":"vLLM is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.","source":"https://docs.vllm.ai","question":"Is vLLM free to use?","confidence":0.6},{"answer":"vLLM supports Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://docs.vllm.ai","question":"What platforms does vLLM support?","confidence":0.6},{"answer":"Yes. vLLM can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://docs.vllm.ai","question":"Can vLLM be self-hosted?","confidence":0.6},{"answer":"We have confirmed 32 integrations for vLLM, including Hugging Face, NVIDIA Dynamo, OpenAI-compatible API, Anthropic Messages API, FlashAttention, FlashInfer, CUTLASS and torch.compile, plus 24 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://docs.vllm.ai","question":"What does vLLM integrate with?","confidence":0.6},{"answer":"Yes. vLLM is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/vllm-project/vllm","question":"Is vLLM open source?","confidence":0.95}]` |
| deployment.options | `{"self_hosted":true}` | `{"cloud":true,"on_prem":true,"self_hosted":true}` |
| description.long | A compiler and inference engine that allows developers to build, optimize, and deploy large language models natively on various platforms including mobile devices, web browsers, and servers with GPU acceleration. | A production-grade inference engine designed for efficient serving of large language models with support for distributed deployment, GPU acceleration, and multi-model endpoints. |
| features.capabilities | `{"open_source":true,"gpu_acceleration":true,"openai_compatible_api":true}` | `{"role":"serving","open_source":true,"managed_cloud":false,"model_serving":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"gpu_acceleration":true,"kubernetes_native":true,"llm_observability":true,"framework_agnostic":true,"continuous_batching":true,"multi_model_serving":true,"multi_gpu_multi_node":true,"quantization_support":true,"openai_compatible_api":true,"multi_framework_support":true}` |
| integrations.count | - | 29 |
| integrations.list | - | `[{"name":"Hugging Face"},{"name":"NVIDIA Dynamo"},{"name":"OpenAI-compatible API"},{"name":"Anthropic Messages API"},{"name":"FlashAttention"},{"name":"FlashInfer"},{"name":"CUTLASS"},{"name":"torch.compile"},{"name":"gRPC"},{"name":"GPTQ"},{"name":"AWQ"},{"name":"GGUF"},{"name":"ModelOpt"},{"name":"TorchAO"},{"name":"OpenAI API"},{"name":"Kubernetes"},{"name":"PyTorch"},{"name":"Ray"},{"name":"OpenTelemetry"},{"name":"Prometheus"},{"name":"FastAPI"},{"name":"Transformers"},{"name":"Outlines"},{"name":"Google Cloud TPU"},{"name":"Intel Gaudi"},{"name":"AMD Instinct"},{"name":"Apple Silicon"},{"name":"IBM Spyre"},{"name":"Huawei Ascend"},{"name":"Rebellions NPU"},{"name":"TRTLLM-GEN"},{"name":"CuTeDSL"},{"name":"OpenAI","native":true,"direction":"outbound"}]` |
| language.primary | Python | Python |
| license.spdx | Apache-2.0 | Apache-2.0 |
| market.availability | - | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"ios":true,"mac":true,"web":true,"linux":true,"android":true,"windows":true}` | `{"cli":true,"linux":true}` |
| pricing | `{"type":"open_source","sourceUrl":"https://llm.mlc.ai","retrievedAt":"2026-08-21T11:07:44.050Z"}` | `{"type":"open_source","freeTier":true,"sourceUrl":"https://docs.vllm.ai","retrievedAt":"2026-08-14T21:53:56.648Z"}` |
| pricing.free_tier | - | yes |
| pricing.model | open_source | open_source |
| pricing.price_level | free | free |
| pricing.transparent | - | yes |
| release.cadence_days | - | 12 |
| release.history | `[{"url":"https://github.com/mlc-ai/mlc-llm/releases/tag/v0.1.dev0","date":"2023-04-29T03:31:41Z","type":"prerelease","version":"v0.1.dev0"}]` | `[{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.31.0","date":"2026-10-05T06:44:55Z","type":"stable","version":"v0.31.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.30.0","date":"2026-09-22T05:20:54Z","type":"stable","version":"v0.30.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.29.0","date":"2026-09-09T08:54:49Z","type":"stable","version":"v0.29.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.28.0","date":"2026-08-26T09:46:30Z","type":"stable","version":"v0.28.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.27.1","date":"2026-08-11T10:47:49Z","type":"stable","version":"v0.27.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.27.0","date":"2026-08-10T21:18:11Z","type":"stable","version":"v0.27.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.26.0","date":"2026-07-27T01:06:58Z","type":"stable","version":"v0.26.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.25.1","date":"2026-07-14T08:51:20Z","type":"stable","version":"v0.25.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.25.0","date":"2026-07-11T20:06:44Z","type":"stable","version":"v0.25.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.24.0","date":"2026-06-29T19:41:59Z","type":"stable","version":"v0.24.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.23.0","date":"2026-06-15T05:27:20Z","type":"stable","version":"v0.23.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.22.1","date":"2026-06-05T10:10:00Z","type":"stable","version":"v0.22.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.22.0","date":"2026-05-29T10:28:13Z","type":"stable","version":"v0.22.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.21.0","date":"2026-05-15T08:44:26Z","type":"stable","version":"v0.21.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.20.2","date":"2026-05-10T07:37:57Z","type":"stable","version":"v0.20.2"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.20.1","date":"2026-05-04T10:36:26Z","type":"stable","version":"v0.20.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.20.0","date":"2026-04-27T21:20:28Z","type":"stable","version":"v0.20.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.19.1","date":"2026-04-18T05:44:42Z","type":"stable","version":"v0.19.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.19.0","date":"2026-04-03T02:19:12Z","type":"stable","version":"v0.19.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.18.1","date":"2026-03-31T00:53:26Z","type":"stable","version":"v0.18.1"}]` |
| security.trust_center | - | https://docs.vllm.ai/en/latest/usage/security/ |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=spack&package_name=mlc-llm&per_page=100","last_12m":0,"max_severity":null}` | `{"count":80,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=vllm&per_page=100","last_12m":52,"max_severity":"CRITICAL"}` |

## Capabilities (Model Serving)

| Capability | MLC LLM | vLLM |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Continuous batching | - | ✓ |
| Dynamic batching | - | - |
| Multi framework support | - | ✓ |
| GPU acceleration | ✓ | ✓ |
| Multi GPU multi node | - | ✓ |
| Quantization support | - | ✓ |
| Openai compatible API | ✓ | ✓ |
| Autoscaling scale to zero | - | - |
| Multi model serving | - | ✓ |
| Canary ab rollout | - | - |
| Kubernetes native | - | ✓ |
| Open source | ✓ | ✓ |

*Source: vioscaleAI. Generated 2026-10-16T18:30:22.755Z. "-" = undocumented, not absent.*