Cloud · head to head
Beam Cloud vs Zeabur

Beam Cloud
Cloud
Serverless GPU computing with sub-second cold starts and multi-cloud support
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Beam Cloud free tier limited to $30 monthly credits with 5 GPU containers; Zeabur free plan limited to single server with 48-hour log retention
- They diverge on capability: Beam Cloud covers Sub-second cold starts, Zeabur covers AI Agent.
- Prices and features above were last checked on 29 August 2026.
Where they differ
Only the attributes on which Beam Cloud and Zeabur actually diverge.
| Attribute | Beam Cloud | Zeabur |
|---|---|---|
| Pricing model | Freemium with pay-per-millisecond usage charges | Fixed monthly plans |
| Platforms | Cloud, Python | Web, CLI |
| Founded | Unknown | 2025 |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Cloud).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Beam Cloud
- Sub-second cold starts
- Inference endpoints
- Task queues
- Sandboxes
- Multi-cloud support
- Python SDK
- Global distribution
- Massive parallelization
Only in Zeabur
- AI Agent
- Managed Servers
- Domain and DNS Management
- Email Service
- AI Hub
- Deploy Templates
- Git Integration
What people use each for
The jobs each tool is most often brought in to do.
Beam Cloud
- Deploying ML models with minimal latency and setup timenot Zeabur
- Large-scale batch processing across thousands of concurrent tasksnot Zeabur
- Cost-effective inference serving with bursty workloadsnot Zeabur
- Multi-cloud AI deployments with global low-latency accessnot Zeabur
- Serverless AI development for rapid experimentationnot Zeabur
Zeabur
- Deploying full-stack web applications without DevOps expertisenot Beam Cloud
- Building AI agent infrastructure with integrated API accessnot Beam Cloud
- Managing multi-region deployments with automated scalingnot Beam Cloud
- Running containerized services with built-in domain and emailnot Beam Cloud
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Beam Cloud
- Free tier limited to $30 monthly credits with 5 GPU containers
- Massive parallelization complexity may require DevOps expertise
- Per-millisecond pricing model requires careful cost monitoring
- Smaller team relative to established cloud providers
Zeabur
- Free plan limited to single server with 48-hour log retention
- Small team size may limit support and feature velocity
- Building spec upgrades limited on lower tiers
- Enterprise support not clearly documented
Pricing, plan by plan
Beam Cloud
Free- DeveloperFree
- $30 monthly free credits
- 5 GPU containers, 30 CPU containers
- Community support
- Team$89/month
- $30 monthly free credits included
- 50 GPU containers, 1,000 CPU containers
- 3 seats included, $25 per additional
- Growth$undefined/custom
- 1,000+ GPU containers
- Unlimited CPU containers
- Unlimited seats
- Serverless GPUs$undefined/per-millisecond
- RTX 4090: $0.00019/sec
Zeabur
Free- FreeFree
- 1 manageable server
- 2C4G build specs
- 48-hour log retention
- Dev$5/month
- 3 manageable servers
- 7-day log retention
- 250 MB file uploads
- Pro$19/month
- 10 manageable servers
- 4C8G build specs
- 30-day log retention
- Team$79/month
- 3 included seats
- Unlimited manageable servers
- 90-day log retention
Which should you pick?
Choose Beam Cloud if
- You need sub-second cold starts.
- You want to start without paying.
- You work on Cloud, Python.
- You also want inference endpoints.
Choose Zeabur if
- You need ai agent.
- You want to start without paying.
- You work on Web, CLI.
- You also want managed servers.
Questions people ask
- Is Beam Cloud or Zeabur better?
- Neither clearly leads. Beam Cloud starts at Free and Zeabur at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Beam Cloud or Zeabur?
- Beam Cloud starts at Free and Zeabur at Free.
- Does Beam Cloud or Zeabur run on more platforms?
- Beam Cloud runs on Cloud, Python. Zeabur runs on Web, CLI.
- Can I use Beam Cloud for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Beam Cloud best used for?
- Beam Cloud is most often used for deploying ml models with minimal latency and setup time, large-scale batch processing across thousands of concurrent tasks, cost-effective inference serving with bursty workloads, multi-cloud ai deployments with global low-latency access. Of those, deploying ml models with minimal latency and setup time and large-scale batch processing across thousands of concurrent tasks are not what Zeabur is typically brought in for.
- What can Beam Cloud do that Zeabur cannot?
- Beam Cloud covers Sub-second cold starts, Inference endpoints, Task queues, Sandboxes. Zeabur covers AI Agent, Managed Servers, Domain and DNS Management, Email Service.
Answered from the vendors’ own pages
Beam Cloud: What is included in the Developer plan?
The Developer plan includes $30 monthly free credits, 5 GPU containers, 30 CPU containers, and community support. No upfront commitment is required.
SourceZeabur: What is included in the free plan?
The free plan includes 1 manageable server, 2C4G build specifications, 48-hour log retention, 50 MB file upload limit, and community support.
SourceBeam Cloud: How fast are the cold starts?
Beam Cloud achieves sub-second cold starts through memory snapshots that restore GPU containers 35x faster than traditional cold boots.
SourceZeabur: How do additional seats work on the Team plan?
The Team plan includes 3 seats with additional seats available at $24 per seat per month.
SourceBeam Cloud: Can I deploy across multiple cloud providers?
Yes, Beam Cloud supports multi-cloud deployment across AWS, GCP, Azure, Hetzner, and other providers with 30+ global regions available.
SourceZeabur: Is there a free trial period?
The Dev and Pro plans include 14 days free before billing begins.
SourceRelated pages
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