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Beam vs Replicate

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan
Neither — Beam has paid plans only, Replicate has paid plans only
Public API
Both have one
Higher Trust score
Beam — 93 vs 82 for Replicate
Best fit
Beam: Indie ML developers shipping inference endpoints without DevOps · Replicate: Developers prototyping with many different models through one API
Status
Both up at our last check — Beam Oct 16, 2026, Replicate Oct 29, 2026

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

FactBeamReplicate
CategoryGPU Cloud & ComputeModel Hosting & Inference
Pricing modelPaidPaid
Starts at$20/mo—
Public APIYesYes
Trust score93 / 10082 / 100
PlatformsWeb, APIWeb, API
CompanySmartshare, Inc.Replicate (Cloudflare)
Last verifiedOct 16, 2026Oct 29, 2026

What our research says

Beam

Beam suits developers who want serverless GPU endpoints, agent sandboxes and on-demand machines behind one SDK without running their own Kubernetes. The free monthly credit is gone, so even a hobby project now starts at $20 a month, which is credited back as usage; weigh it as a startup-stage vendor whose quotas and prices move faster than the hyperscalers'.

Pros

  • Per-second serverless billing with scale-to-zero
  • Developer plan fee comes back as $20 of monthly usage credit
  • Python, TypeScript and Go SDKs plus REST access
  • BYOC mode lets existing cloud credits pay for the compute

Cons

  • No free plan; the entry plan is $20/month
  • Developer plan caps GPU concurrency at 5 containers
  • Team features gate at $89/month plus usage

Replicate

Replicate is the quickest way for a developer to call a popular image, video or language model, or ship a custom one, without managing GPUs, and per-output pricing makes small workloads predictable. Teams with steady high volume, or who need their own cloud contracts, usually get better unit costs from dedicated GPU providers or the model makers' own APIs.

Pros

  • Very large catalog of models behind one consistent API
  • Per-output pricing on many models makes costs easy to estimate
  • Fine-tuning and private deployments for custom models
  • Cog tool for packaging and pushing your own models

Cons

  • Private deployments bill for idle time while instances are up
  • Cold starts can slow the first request to less-used models
  • Costs at scale can exceed self-hosting or direct vendor APIs

Which one fits

Choose Beam if you need

  • Indie ML developers shipping inference endpoints without DevOps
  • Agent builders needing sandboxed code execution or persistent VMs
  • Teams with cloud credits who want Beam to orchestrate inside their own AWS, GCP or Azure account

Choose Replicate if you need

  • Developers prototyping with many different models through one API
  • Startups adding image or video generation without running GPUs
  • Teams packaging and serving custom models with Cog

Beam vs Replicate: the questions people ask

Is Beam cheaper than Replicate?

Beam starts at $20/mo. An entry price for Replicate is not confirmed by us yet, so check its pricing page before you compare.

Which has a public API, Beam or Replicate?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

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