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Cloud · head to head

Cerebrium vs OpsLevel

Cerebrium logo

Cerebrium

Cloud

Serverless GPU infrastructure for real-time AI inference and applications

From
Free
Free plan
Yes
OpsLevel logo

OpsLevel

Developer Tools

Internal developer portal that scores service ownership and production readiness

From
On request
Free plan
No

The short version

  • Only Cerebrium has a free tier, so it costs nothing to try first.
  • Each has a real cost: Cerebrium free Hobby tier limited to 3 apps and 5 GPU concurrency; OpsLevel opsLevel does not publish prices at all, not even a starting figure, so you cannot size a budget or compare against Backstage's zero licence cost without entering a sales cycle.
  • They diverge on capability: Cerebrium covers Ultra-fast cold starts, OpsLevel covers Service catalogue.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Cerebrium and OpsLevel actually diverge.

Attributes where Cerebrium and OpsLevel differ
AttributeCerebriumOpsLevel
Starting priceFreeOn request
Pricing modelFreemium with monthly plans and per-second compute chargesquote
Free tierYesNo
PlatformsCloud, DockerWeb
CategoryCloudDeveloper Tools

Identical on both: user rating (Not yet rated).

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 Cerebrium

  • Ultra-fast cold starts
  • Elastic scaling
  • Bring your own code
  • Multi-region failover
  • WebSocket and streaming
  • Asynchronous jobs
  • CI/CD with gradual rollouts
  • OpenTelemetry integration

Only in OpsLevel

  • Service catalogue
  • Scorecards and rubric
  • Checks
  • Campaigns
  • Self-service actions
  • Slack and Teams integration
  • Catalogue auto-enrichment
  • Deployment on request

What people use each for

The jobs each tool is most often brought in to do.

Cerebrium

  • Deploying voice agents and conversational AI applicationsnot OpsLevel
  • Video and image model serving with low latencynot OpsLevel
  • LLM inference and completion endpointsnot OpsLevel
  • Real-time embeddings and vector database operationsnot OpsLevel
  • Distributed model training with hyperparameter sweepsnot OpsLevel

OpsLevel

  • A platform team that needs to prove every production service has a named owner and an on-call rota before an auditnot Cerebrium
  • Driving a fleet-wide migration such as a runtime upgrade across 400 services with a deadline and visible progressnot Cerebrium
  • Giving developers a paved road to create a new service from a template without waiting on the platform teamnot Cerebrium
  • An organisation where an incident took an hour to route because nobody could identify the owning teamnot Cerebrium

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Cerebrium

  • Free Hobby tier limited to 3 apps and 5 GPU concurrency
  • Standard plan at $100/month required for production deployments
  • Per-second compute pricing requires continuous cost monitoring
  • Storage costs add up for large model files

OpsLevel

  • OpsLevel does not publish prices at all, not even a starting figure, so you cannot size a budget or compare against Backstage's zero licence cost without entering a sales cycle.
  • The Standard plan caps at 50 users, which is below the size at which service ownership becomes a real problem, so most genuine buyers land on Enterprise and its unpublished pricing.
  • Scores are only as honest as the metadata teams maintain; where ownership records go stale the rubric produces confident numbers about a catalogue that no longer reflects reality, and leadership acts on them.
  • It reports on quality rather than producing it, so it can generate friction between platform teams who set the rubric and product teams who see it as a scoreboard imposed on them without extra headcount to fix the findings.
  • As a hosted product it needs read access to source control, cloud accounts and observability tooling, which is a meaningful vendor review in regulated environments; on-premises exists but only on the Enterprise tier.

Pricing, plan by plan

Cerebrium

Free
  • HobbyFree
    • 3 user seats
    • Up to 3 deployed apps
    • 5 GPU concurrency
  • Standard$100/month
    • Unlimited seats and apps
    • 30 GPU concurrency
    • Custom domains
  • Enterprise$undefined/custom
    • Unlimited resources
    • Volume discounts
    • Dedicated support
  • GPU Compute$undefined/per-second
    • T4: $0.000164/s
    • H100: $0.00167/s

OpsLevel

On request
  • Standard$undefined/year
    • Up to 50 users
    • Unlimited catalogued components
    • Scorecards, campaigns and the global rubric
  • Enterprise$undefined/year
    • Unlimited users
    • Custom integrations
    • Customisable dashboards

Which should you pick?

Choose Cerebrium if

  • You need ultra-fast cold starts.
  • You want to start without paying.
  • You work on Cloud, Docker.
  • You also want elastic scaling.

Choose OpsLevel if

  • You need service catalogue.
  • You also want scorecards and rubric.

Questions people ask

Is Cerebrium or OpsLevel better?
Neither clearly leads. Cerebrium starts at Free and OpsLevel at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cerebrium or OpsLevel?
Cerebrium has a free tier; the other does not. Paid plans start at Free for Cerebrium and On request for OpsLevel.
Does Cerebrium or OpsLevel run on more platforms?
Cerebrium runs on Cloud, Docker. OpsLevel runs on Web.
Can I use Cerebrium for free?
Yes. Cerebrium has a free tier, so you can try it without paying. OpsLevel starts at On request.
What is Cerebrium best used for?
Cerebrium is most often used for deploying voice agents and conversational ai applications, video and image model serving with low latency, llm inference and completion endpoints, real-time embeddings and vector database operations. Of those, deploying voice agents and conversational ai applications and video and image model serving with low latency are not what OpsLevel is typically brought in for.
What can Cerebrium do that OpsLevel cannot?
Cerebrium covers Ultra-fast cold starts, Elastic scaling, Bring your own code, Multi-region failover. OpsLevel covers Service catalogue, Scorecards and rubric, Checks, Campaigns.

Answered from the vendors’ own pages

Cerebrium: Is Cerebrium only for inference or can it train models?

Cerebrium supports both inference serving and model training with hyperparameter sweeps. It enables deployment of voice agents, LLMs, video models, and other AI applications.

Source
OpsLevel: How much does OpsLevel cost?

It does not publish pricing. Billing is per developer using the portal, with volume discounts, and a quote requires a sales conversation.

Cerebrium: How do the cold starts compare to other platforms?

Cerebrium achieves 2-4 second cold starts through memory and GPU snapshotting, significantly faster than traditional 30+ second cold boots. This is competitive with platforms like Beam Cloud.

Source
OpsLevel: How does it compare with Backstage?

Backstage has no licence fee but you staff a team to build and run it. OpsLevel is hosted with checks, campaigns and scorecards out of the box, and you pay per developer instead.

Cerebrium: What compliance certifications does Cerebrium have?

Cerebrium maintains SOC 2 Type II compliance, HIPAA certification, GDPR compliance, and ISO certification. It provides gVisor container isolation and configurable data residency for regulated workloads.

Source
OpsLevel: Does it require writing catalogue YAML by hand?

No. It auto-discovers and enriches entries from connected systems, though teams still curate ownership and metadata.

OpsLevel: Can it run on premises?

Yes, but only on the Enterprise plan.

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