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Beam Cloud vs DeepInfra

Beam Cloud logo

Beam Cloud

Cloud

Serverless GPU computing with sub-second cold starts and multi-cloud support

From
Free
Rated
-
Full reviewWebsite
DeepInfra logo

DeepInfra

Cloud

Low-cost cloud API for running open-source AI models

From
$0.08/month
Rated
-
Full reviewWebsite

The short version

  • Only Beam Cloud has a free tier, so it costs nothing to try first.
  • Each has a real cost: Beam Cloud free tier limited to $30 monthly credits with 5 GPU containers; DeepInfra focuses on inference hosting rather than fine-tuning or full training pipelines that competitors like Fireworks AI offer.
  • They diverge on capability: Beam Cloud covers Sub-second cold starts, DeepInfra covers Open model hosting.

Where they differ

Only the attributes on which Beam Cloud and DeepInfra actually diverge.

Attributes where Beam Cloud and DeepInfra differ
AttributeBeam CloudDeepInfra
Starting priceFree$0.08/month
Pricing modelFreemium with pay-per-millisecond usage chargesusage-based
Free tierYesNo
PlatformsCloud, Pythonweb, api

Identical on both: 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 DeepInfra

  • Open model hosting
  • Pay-per-token pricing
  • Long context support
  • DeepCluster
  • Zero retention policy
  • Real-time metrics

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 DeepInfra
  • Large-scale batch processing across thousands of concurrent tasksnot DeepInfra
  • Cost-effective inference serving with bursty workloadsnot DeepInfra
  • Multi-cloud AI deployments with global low-latency accessnot DeepInfra
  • Serverless AI development for rapid experimentationnot DeepInfra

DeepInfra

  • Running open-source LLM inference without managing GPUsnot Beam Cloud
  • Serving speech and image generation models via APInot Beam Cloud
  • Cost-sensitive production inference at scalenot Beam Cloud
  • Reserved GPU capacity via DeepCluster for steady workloadsnot 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

DeepInfra

  • Focuses on inference hosting rather than fine-tuning or full training pipelines that competitors like Fireworks AI offer.
  • Model selection is limited to what DeepInfra chooses to host, unlike self-managed platforms.
  • No published free tier; usage is billed from the first token.

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

DeepInfra

$0.08/month
  • Pay-as-you-go$undefined/mo
    • Per-model token pricing from $0.08 to $2.85 per million input tokens
    • No long-term contract
  • DeepCluster$1.98/month
    • Dedicated NVIDIA B300 GPU clusters at $1.98/GPU-hour

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.
Beam Cloud review

Choose DeepInfra if

  • You need open model hosting.
  • You work on web, api.
  • You also want pay-per-token pricing.
DeepInfra review

Questions people ask

Is Beam Cloud or DeepInfra better?
Neither clearly leads. Beam Cloud starts at Free and DeepInfra at $0.08/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Beam Cloud or DeepInfra?
Beam Cloud has a free tier; the other does not. Paid plans start at Free for Beam Cloud and $0.08/month for DeepInfra.
Does Beam Cloud or DeepInfra run on more platforms?
Beam Cloud runs on Cloud, Python. DeepInfra runs on web, api.
Can I use Beam Cloud for free?
Yes. Beam Cloud has a free tier, so you can try it without paying. DeepInfra starts at $0.08/month.
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 DeepInfra is typically brought in for.
What can Beam Cloud do that DeepInfra cannot?
Beam Cloud covers Sub-second cold starts, Inference endpoints, Task queues, Sandboxes. DeepInfra covers Open model hosting, Pay-per-token pricing, Long context support, DeepCluster.

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.

Source
DeepInfra: Is there a free tier on DeepInfra?

No free tier is published; usage is billed pay-as-you-go from the first token, though a credit card or pre-payment is required before you can send requests.

Source
Beam 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.

Source
DeepInfra: How is usage priced?

Language models are billed per million input/output tokens, other models by inference execution time, and audio models per minute of audio processed, with no minimum commitment.

Source
Beam 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.

Source
DeepInfra: What are the Standard, Priority, and Flex tiers?

Standard is default best-effort pricing at 1x, Priority costs 1.5x for faster time-to-first-token during peak demand, and Flex costs 0.8x for non-production or asynchronous workloads.

Source
DeepInfra: How does billing scale with spend?

Accounts advance through usage tiers as cumulative payments cross $20, $100, $500, $2,000, and $10,000 thresholds, with invoices generated monthly or at each threshold.

Source
DeepInfra: Is there a limit on concurrent requests?

Yes, accounts are limited to 200 concurrent requests by default, though spending limits can also be configured to prevent unexpected charges.

Source
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