Fireworks AI vs Beam

Fireworks AI9.0Visit Beam8.4Visit

Higher score Fireworks AI #4 in AI Model Hosting 9.0/10 Paid ✓ 4 of 4 features Visit Fireworks AI

vs

Beam #10 in AI Model Hosting 8.4/10 Free plan Free plan✓ 4 of 4 features Visit Beam

• Fireworks AI fits best

  Production teams needing global model serving

• Beam fits best

  Developers wanting serverless GPUs and batch jobs

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Side by side

Feature	Fireworks AI 9.0/10 Visit ↗	Beam 8.4/10 Visit ↗
At a glance
Editor score	9.0	8.4
Ranking	#4 in AI Model Hosting	#10 in AI Model Hosting
Best for	Production teams needing global model serving	Developers wanting serverless GPUs and batch jobs
Pricing model	Paid	Free plan + paid
Starting price	$0.05/unit usage-based	$89/mo
Free plan	—	✓ (best)
Free trial	—	—
Deployment	Cloud, Self-hosted	Cloud, Self-hosted
Platforms	Web	Web
Support	Community, Docs	Live chat, Community, Docs
Compliance	SOC 2, HIPAA, GDPR, SSO/SAML	SOC 2
Built for	Small business, Mid-market, Enterprise	Small business, Mid-market, Enterprise
Features Fireworks AI 4/4 · Beam 4/4
Autoscaling	✓	✓
GPU accelerators	✓	✓
Private deployment	✓	✓
Batch inference	✓	✓
Specs
Deployment mode	Both	Both
Supported model formats	safetensors, bin	Not checked yet
Deployment regions	26 regions	Not checked yet
Our review
Pros	Serverless and dedicated inference support different production workloads Autoscaling, scale-to-zero, and batch inference support operational flexibility 26 regions, compatible APIs, and bring-your-own-cluster deployment options	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
Cons	There is no free plan Pricing is usage-based rather than organized around monthly subscriptions The listed serverless rate applies to one named model	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
Our verdict	Fireworks AI is a hosted platform for serving, customizing, evaluating, and training open AI models. It supports serverless per-token inference for prototyping and dedicated GPU deployments for production workloads. Developers can deploy… 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

• Fireworks AI — where it wins

  • Serverless and dedicated inference support different production workloads
  • Autoscaling, scale-to-zero, and batch inference support operational flexibility
  • 26 regions, compatible APIs, and bring-your-own-cluster deployment options

  Where it doesn't

  • There is no free plan
  • Pricing is usage-based rather than organized around monthly subscriptions
  • The listed serverless rate applies to one named model

• 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

• Fireworks AI9.0/10 · Paid

  A flexible serving platform for production teams that need global model deployment.

  Visit Fireworks AIFull verdict →
• Beam8.4/10 · Free plan

  A flexible hosting layer for serverless GPU inference, queues, and batch jobs.

  Visit BeamFull verdict →