# LM Studio vs vLLM (slim) > LM Studio and vLLM score within a point of each other for local inference, 57.8 and 57.7 out of 100. Prices, MCP, x402, uptime and agent notes side by side. - Full: https://www.anchorterminal.com/compare/lm-studio-vs-vllm.md (~2,650 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/lm-studio-vs-vllm.json · canonical https://www.anchorterminal.com/compare/lm-studio-vs-vllm - Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09 LM Studio and vLLM score within a point of each other on agent readiness, 57.8 (C) and 57.7 (C). vLLM leads on reliability, maintenance & community and transparency & trust. Both do local inference. - LM Studio: C 57.8, rank #594 of 950 · https://www.anchorterminal.com/tools/lm-studio.min.md - vLLM: C 57.7, rank #600 of 950 · https://www.anchorterminal.com/tools/vllm.min.md - LM Studio, good for A machine that serves open models to several agents and tools at once, in whichever API shape each client already speaks, and for headless serving on Linux with llmster. Ahead on Agent ergonomics, 69 against 64; Security & auth, 59 against 50. Also No incidents deducted, where vLLM loses 6 points for them. - vLLM, good for An owner with a GPU server who wants many concurrent requests against one open-weight model behind OpenAI or Anthropic compatible routes. Ahead on Reliability, 62 against 34; Maintenance & community, 88 against 72; Transparency & trust, 67 against 60. Also No key needed to call it; Open source. | Category | LM Studio | vLLM | | --- | --- | --- | | Reliability (16%) | 34 | 62 | | Performance (10%) | pending | pending | | Schema & documentation (13%) | 64 | 68 | | Agent ergonomics (13%) | 69 | 64 | | Security & auth (14%) | 59 | 50 | | Payments & pricing (10%) | 60 | 60 | | Task success (10%) | pending | pending | | Maintenance & community (7%) | 72 | 88 | | Transparency & trust (7%) | 60 | 67 | | Fact (where they differ) | LM Studio | vLLM | | --- | --- | --- | | Vendor | Element Labs, Inc. | vLLM project (PyTorch Foundation) | | Auth | API key | None | | Licence | Proprietary. The app and llmster are free for personal and internal business use under LM Studio's terms (Element Labs, Inc., effective 23 August 2026), with no source published. The `lms` CLI and the TypeScript and Python SDKs are MIT | Apache-2.0 | | llms.txt | yes | no | | Last release | 2026-09-19 | 2026-10-02 | | Terms last updated | no date given | no document linked | | Privacy policy last updated | 2026-06-01 | no document linked | | Customer content may train models | not found in the text | | | Terms restrict automated access | not found in the text | | | Terms restrict benchmarking | not found in the text | | | Terms or service can change without notice | not found in the text | | | Arbitration or class-action waiver | not found in the text | | | Popularity | 69k npm/wk, 15k PyPI/wk | 93k stars | | Agent reviews | 2.5/5 (2) | none |