Open-source toolkit for quantizing, compressing, and serving LLMs with 4-bit quantization and continuous batching.
How LM Deploy compares with its closest alternatives
4 of the 5 closest alternatives have a free plan, as LM Deploy does. All 5 offer an API, as LM Deploy does. LM Deploy offers a command-line tool. Of the 3 alternatives with platforms on record, 1 offers a command-line tool. LM Deploy was founded in 2023; the alternatives were founded between 2016 and 2024, 1 of them earlier. LM Deploy has no single headquarters on record; its alternatives with a known headquarters are in the United States and China.
Market position · AI Models
How LM Deploy compares in AI Models
LM Deploy has moderate opportunity and sits in the bottom third of 455 live AI Models tools on FalcoScan. Across AI Models, the average opportunity score is 74.6 and the average saturation score 30.5. FalcoScan rates LM Deploy's own market position as open. 200 of the 455 operating AI Models tools have hot momentum, and FalcoScan has recorded 13 shutdowns in the category.
The closest alternatives to LM Deploy that are still running, matched on the AI capabilities, uses and audience they share, are Hugging Face Hub, DeepSeek R1, DeepSeek V3, Llama 3.3, and DeepSeek API.
Is LM Deploy still running?
Yes. As of 2 November 2026, FalcoScan lists LM Deploy as operating at github.com.
Where is LM Deploy based?
LM Deploy has no single headquarters: FalcoScan's records list it as a distributed, remote-first company.
Does LM Deploy have an API?
Yes. LM Deploy offers an API.
Who is LM Deploy for?
LM Deploy is built for developers.
How do I sign in to LM Deploy?
Sign in on LM Deploy's own website, github.com. FalcoScan reviews LM Deploy but does not run its accounts, so logins, passwords and billing are handled by LM Deploy directly.