Head-to-head · AI Model Hosting
Baseten vs Beam
Baseten leads on 0 checks, Beam on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreBaseten · 9.4/10
- Free planboth
Baseten scores higher on our rubric for ai model hosting: 9.4 against 8.4 out of 10; our editors rank them #1 and #10.
Baseten is the better fit for teams wanting managed model APIs. Beam is the better fit for developers wanting serverless GPUs and batch jobs.
- Baseten fits best
Teams wanting managed model APIs
- Beam fits best
Developers wanting serverless GPUs and batch jobs
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Side by side
| Feature | Baseten 9.4/10 Visit ↗ | Beam 8.4/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.4 | 8.4 |
| Ranking | #1 in AI Model Hosting | #10 in AI Model Hosting |
| Best for | Teams wanting managed model APIs | Developers wanting serverless GPUs and batch jobs |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | — | $89/mo |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Email, Live chat, Docs | Live chat, Community, Docs |
| Compliance | SOC 2, GDPR, HIPAA, SSO/SAML | SOC 2 |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Baseten 4/4 · Beam 4/4 | ||
| Autoscaling | ✓ | ✓ |
| GPU accelerators | ✓ | ✓ |
| Private deployment | ✓ | ✓ |
| Batch inference | ✓ | ✓ |
| Specs | ||
| Deployment mode | Both | Both |
| Supported model formats | Truss/Python, custom Docker, vLLM, SGLang, Ollama | Not checked yet |
| Deployment regions | 2 regions | Not checked yet |
| Our review | ||
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| Our verdict | Baseten is an AI inference platform for teams deploying open-source, custom, and fine-tuned models in production. It combines managed Model APIs with dedicated CPU and GPU deployments, configurable autoscaling, asynchronous inference,… Read the review → |
Beam is a cloud platform for deploying AI inference endpoints, task queues, sandboxes, training jobs, and other GPU workloads. It is designed for developers and engineering teams building AI products without managing traditional cloud… Read the review → |
Strengths and trade-offs
Baseten — where it wins
- OpenAI-compatible Model APIs and dedicated CPU/GPU deployments
- Autoscaling, async inference, regional endpoints, and observability
- Training, fine-tuning, custom containers, and self-hosted options
Where it doesn't
- Basic includes usage-based compute charges beyond its $0 platform price
- Regional deployment documentation lists United States and European Union
- Dedicated Slack and Zoom support is available on Pro rather than Basic
Beam — where it wins
- Serverless GPU inference with workload-based autoscaling
- Queues support retries, callbacks, scheduled jobs, and batch processing
- Cloud, bring-your-own-cloud, and private self-hosted deployment options
Where it doesn't
- Developer limits usage to 5 GPU and 30 CPU containers
- Monthly plan fees are separate from pay-as-you-go compute charges
- Growth includes no published monthly price in the available plan details
- Baseten9.4/10 · Free plan
Managed model APIs with GPU deployments, autoscaling, training, and observability.
Visit BasetenFull verdict → - Beam8.4/10 · Free plan
A flexible hosting layer for serverless GPU inference, queues, and batch jobs.
Visit BeamFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update








