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Cloud · head to head

Cerebrium vs Cody

Cerebrium logo

Cerebrium

Cloud

Serverless GPU infrastructure for real-time AI inference and applications

From
Free
Free plan
Yes
Full reviewWebsite
Cody logo

Cody

Developer Tools

AI coding assistant powered by code search

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: Cerebrium free Hobby tier limited to 3 apps and 5 GPU concurrency; Cody sourcegraph now publishes a single Enterprise plan starting at $16K, with no free or individual Pro tier listed on the pricing page
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which Cerebrium and Cody actually diverge.

Attributes where Cerebrium and Cody differ
AttributeCerebriumCody
Pricing modelFreemium with monthly plans and per-second compute chargesfreemium
PlatformsCloud, DockerWeb
CategoryCloudDeveloper Tools
FoundedUnknown2013

Identical on both: starting price (Free), free tier (Yes), 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 Cody

Nothing recorded that Cerebrium does not also cover.

What people use each for

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

Cerebrium

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

Cody

  • Code completion and intelligent autocomplete in IDEsnot Cerebrium
  • Developer chat with codebase context awarenessnot Cerebrium
  • Automated debugging and error identificationnot Cerebrium
  • Customizable prompts for workflow automationnot 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

Cody

  • Sourcegraph now publishes a single Enterprise plan starting at $16K, with no free or individual Pro tier listed on the pricing page
  • sourcegraph.com/cody redirects to the documentation rather than a Cody product or pricing page
  • AI features are metered as credits included per user, and exceeding the allocation requires buying a higher volume bucket
  • Volume credit buckets are sold as an add-on rather than included
  • A customer success manager and premium support are optional paid extras on top of the Enterprise plan
  • Standard support is 24x5 rather than 24x7, with round-the-clock coverage sold as an upgrade
  • The published $16K figure is a starting price that scales with team size, so the actual cost is quoted rather than listed

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

Cody

Free

No published plan breakdown. See the Cody review.

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.
Cerebrium review

Choose Cody if

  • You want to start without paying.
Cody review

Questions people ask

Is Cerebrium or Cody better?
Neither clearly leads. Cerebrium starts at Free and Cody at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cerebrium or Cody?
Cerebrium starts at Free and Cody at Free.
Does Cerebrium or Cody run on more platforms?
Cerebrium runs on Cloud, Docker. Cody runs on Web.
Can I use Cerebrium for free?
Both have a free tier, so you can try either at no cost before committing.
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 Cody is typically brought in for.
What can Cerebrium do that Cody cannot?
Cerebrium covers Ultra-fast cold starts, Elastic scaling, Bring your own code, Multi-region failover.

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
Cody: Is Cody free?

Cody offers a free tier for individual developers via VS Code, JetBrains, Visual Studio, and the web app. Unlimited free usage is available for solo developers.

Source
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
Cody: What does Cody Enterprise cost?

Cody Enterprise pricing is custom and requires contacting Sourcegraph sales. It is available for Sourcegraph Enterprise customers and must be quoted based on your deployment and usage needs.

Source
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
Cody: What LLMs does Cody use?

Cody uses the latest large language models for code completions, chat, and debugging. It leverages Sourcegraph's advanced Search API to pull codebase context from local and remote repositories.

Source
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