Tools
Baseten vs vLLM
Baseten or vLLM? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.
In short
- Both: Choice of models, Self-hosted, API, Runs models for you
Baseten
Baseten provides managed infrastructure to deploy, serve, train, and distribute open-source, custom, and fine-tuned AI models.
Plans
Basic
Free
- Dedicated deployments
- Model APIs
- Training
- Fast cold starts
- SOC 2 Type II and HIPAA compliant
- Email and in-app chat support
Dedicated Deployments — T4
- $0.01052 per minute
- 16 GiB VM
Dedicated Deployments — L4
- $0.01414 per minute
- 24 GiB VRAM
Dedicated Deployments — A10G
- $0.02012 per minute
- 24 GiB VM
Dedicated Deployments — A100
- $0.06667 per minute
- 80 GiB VRAM
Dedicated Deployments — H100 MIG
- $0.0625 per minute
- 40 GiB VRAM
Dedicated Deployments — H100
- $0.10833 per minute
- 80 GiB VRAM
Dedicated Deployments — B200
- $0.16633 per minute
- 180 GiB VRAM
Prices checked 2026-09-24 on the maker’s page.
Capabilities
- Choice of models — “You can deploy open source and custom models on Baseten.” source
- Self-hosted — “Yes, you can self-host Baseten in order to manage security and use your own cloud commitments.” source
- API — “Model APIs” source
- Runs models for you — “Instant access to pre-optimized models running on the Baseten Inference Stack.” source
Security
- SOC 2 Type II — “Baseten Labs, Inc. SOC 2 Type 2 Report 5.31.26.pdf” source
- SOC 2 — “Baseten Labs, Inc. SOC 2 Type 2 Report 5.31.26.pdf” source
- ISO 27001 — “Baseten Labs, Inc. ISO 27001 Certificate.pdf” source
- GDPR — “SOC 2 ISO 27001:2022 HIPAA CCPA GDPR PCI DSS - SAQ D” source
- HIPAA — “Baseten Labs, Inc. HIPAA Report 5.31.26.pdf” source
Latest updates
- Web search with Baseten Hosted Tools
Baseten Hosted Tools now brings server-side web search to Model APIs through Baseten Grounded Inference.
- Baseten CLI 1.0.0 (1.0.0)
The Baseten CLI is now generally available. Version 1.0.0 marks the command surface as stable.
- Model API Deprecation (GLM 4.7, Kimi K2.7, Kimi K2.6, Inkling, Inkling Small, DeepSeek v4 Pro)
GLM 4.7, Kimi K2.7, Kimi K2.6, Inkling, Inkling Small, and DeepSeek v4 Pro will be deprecated at 5pm PT September 25th.
vLLM
Open-source engine for serving large language models with batching, caching, quantization, and distributed inference.
Plans
Free
Free
- Unlimited public/private repositories
- Dependabot security and version updates
- 2,000 CI/CD minutes/month
- 500MB of Packages storage
- Issues & Projects
- Community support
Team
- $4 USD per user/month
- Access to GitHub Codespaces
- Repository rules
- Multiple reviewers in pull requests
- Draft pull requests
- Code owners
- 3,000 CI/CD minutes/month
Enterprise
- Starting at $21 USD per user/month
- Data residency
- Enterprise Managed Users
- User provisioning through SCIM
- Enterprise Account to centrally manage multiple organizations
- Environment protection rules
- Audit Log API
Prices checked 2026-09-25 on the maker’s page.
Capabilities
- Choice of models — “vLLM seamlessly supports 200+ model architectures on Hugging Face, including:” source
- Self-hosted — “A high-throughput and memory-efficient inference and serving engine for LLMs” source
- API — “OpenAI-compatible API server, plus Anthropic Messages API and gRPC support” source
- Runs models for you — “A high-throughput and memory-efficient inference and serving engine for LLMs” source
Latest updates
- v0.30.0 (v0.30.0)
Added support for DeepSeek-V4.1-Flash, DeepSeek-V4-Flash-Vision-Exp, GLM-5.3-Flash, K2-Horizon, and other models.
- v0.30.0rc2 (v0.30.0rc2)
Fixed NIXL receive reports for notification-only requests.
- v0.30.0rc1: [Bugfix] Isolate supplemental FlashInfer BF16 autotuning (#57285) (v0.30.0rc1)
Isolated supplemental FlashInfer BF16 autotuning.