What is LMDeploy?
A software framework that enables developers to compress, deploy, and serve large language models with quantization optimization, multiple inference engines, and compatibility across various model architectures.
LMDeploy pricing
We don't have LMDeploy's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
Platform & deployment
Independently observed- CLI
- Windows
- Self-hosted
Integrations (2)
Independently observed- llm-compressor
- OpenCompass
Security & compliance
Known vulnerabilities: 6 (4 in the last 12 months), max severity HIGH sourcea count reflects scale & disclosure, not quality
LMDeploy alternatives
Other model serving we track, ranked by the same independent score.
- KServelow · 19%
- TorchServelow · 28%
- Hugging Face Text Generation Inferencelow · 27%
- NVIDIA NIMSelf-hosted GPU-accelerated inference containers for deploying AI models across clouds and edge deviceslow · 36%
- NVIDIA Triton Inference Serverlow · 24%
- Amazon SageMaker InferenceA cloud platform for deploying machine learning models with low-latency and high-throughput inference capabilitieslow · 40%
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for LMDeploy, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Development activity | 58 | 0.09 | 5.4 | ✓ |
| Release cadence | 88 | 0.05 | 4.6 | ✓ |
| Stars | 74 | 0.03 | 1.9 | ✓ |
| Integrations | 14 | 0.07 | 1.0 | ✓ |
| Dependent projects | 8 | 0.06 | 0.5 | ✓ |
| Capabilities | 0 | 0.08 | 0.0 | - |
| Security posture | 0 | 0.07 | 0.0 | - |
| Package downloads | 0 | 0.14 | 0.0 | - |
| Security score | 0 | 0.04 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 66 | mediumsource · 2026-08-26 · 65% |
Adoption
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 2 | mediumsource · 2026-08-20 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-08-26 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-08-26 · 95% |
Pricing
Release
Security
| Attribute | Value | Evidence |
|---|---|---|
| Vulnerabilities | Count: 6 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=lmdeploy&per_page=100 · Last 12m: 4 · Max severity: HIGH | highsource · 2026-08-26 · 90% |