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Baseten vs Beam

A side-by-side comparison of Baseten and Beam, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Baseten

Inference

Inference cloud for serving any AI model in production.

View Baseten

Beam

Infra

On-demand serverless GPU compute for AI, from Python.

View Beam

At a glance

Feature comparison of Baseten and Beam
AttributeBasetenBeam
Category (differs)InferenceInfra
PricingFREEMIUMFREEMIUM
LicenseProprietaryProprietary
DeploymentCloudCloud
Platforms (differs)Web, APICLI, API, Linux
Model support (differs)Multi-modelModel-agnostic
Vendor (differs)BasetenBeam

The honest brief

Baseten

Pairs prebuilt Model APIs with dedicated Truss deployments and scale-to-zero, so you don't pay for idle GPUs.

  • Prebuilt Model APIs for Llama, DeepSeek
  • Dedicated GPU/CPU deploys for custom models
  • Open-source Truss packaging format
  • Production-grade observability and autoscaling
  • Dedicated GPU rates run pricier than Modal
  • Per-replica cost doubles for redundancy
  • Engineering effort to package custom models

Beam

Deploy GPU endpoints, sandboxes, and queues from a few lines of Python — open-core runtime (beta9) you can self-host.

  • Define GPU workloads in pure Python
  • Open-source runtime (beta9)
  • Fast cold starts and autoscaling
  • Free dev tier with monthly credit
  • Smaller ecosystem than hyperscalers
  • Python-centric; less polyglot
  • Newer platform, maturing tooling