Compute Comparison

Beam vs Koyeb: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Beam and Koyeb. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Attribute
Provider type
Specialist
Specialist
Founded
2022
2021
Headquarters
New York, NY
Paris, France
Billing model
Per-second usage
Pay-per-use (per-second), Saving plans
Min commitment
None
None
Support tier
Standard
Community → Enterprise
Regions
1 regions
3 regions

Strengths & Best For

Beam

Beam is a serverless GPU platform that lets developers deploy AI models and run H100, A100, and T4 compute jobs with automatic scaling and per-second pay-per-use billing — no infrastructure management required. A Python-native SDK (`beam deploy`) and fast cold starts make it easy to build and ship LLM inference APIs, batch ML pipelines, and AI model serving endpoints quickly. Beam handles container builds, GPU provisioning, and scaling automatically. Free tier available. A strong choice for Python-first teams that want serverless GPU infrastructure with predictable, usage-based pricing.

Strengths
  • Python-native SDK — `beam deploy` ships a GPU endpoint in minutes
  • Auto-scaling with fast cold starts — no idle cost
  • Per-second billing — pay only for actual compute time
  • Free tier available for prototyping
  • Handles container builds and GPU provisioning automatically
Weaknesses
  • Less control over underlying infrastructure vs raw VMs
  • Smaller GPU catalog than dedicated cluster providers
  • Not suitable for multi-node distributed training
Best For
Serverless LLM inference APIsBatch ML processing pipelinesPython-first teams wanting zero-ops GPU infrastructureRapid prototyping with free tier
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Koyeb

Koyeb is joining Mistral AI to build the future of AI infrastructure. The platform offers serverless GPU compute with automatic scaling to zero and per-second billing. GPU catalog: B200, H200, H100, A100 SXM, RTX PRO 6000, A100, L40S, RTX A6000, L4, RTX 4000 SFF Ada. N300s (NVIDIA Rubin) available via request. 7 regions in US, EU, and Asia. Saving plans up to 50% off. Kubernetes deployment in 120 seconds. Check koyeb.com/pricing for current rates.

Strengths
  • B200, H200, H100 — competitive serverless pricing
  • Joining Mistral AI — strong AI infrastructure future
  • Automatic scaling to zero — no idle costs
  • Per-second billing, Kubernetes in 120 seconds
  • 7 regions in US, EU, and Asia
  • N300s (NVIDIA Rubin) available via request
Weaknesses
  • Acquisition by Mistral AI may change product direction
  • Fewer regions than major cloud providers
  • Less mature ecosystem vs CoreWeave or Lambda
Best For
Inference API deployments with variable trafficServerless AI applicationsTeams wanting zero-ops GPU inferenceMistral AI ecosystem users
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Region Coverage

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Key differences

Beam

Serverless GPU infrastructure — Python-native, auto-scaling, per-second billing

Koyeb

Joining Mistral AI — B200, H200, H100, serverless GPU with scale-to-zero

AttributeBeamKoyeb
Provider typespecialistspecialist
Billing modelPer-second usagePay-per-use (per-second), Saving plans
Min commitmentNoneNone
Regions1 (US)3 (EU, US, Asia)
Support tierStandardCommunity → Enterprise
Best forServerless LLM inference APIs, Batch ML processing pipelinesInference API deployments with variable traffic, Serverless AI applications
Founded / HQ2022 · New York, NY2021 · Paris, France