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Cloud · head to head

Beam Cloud vs Cody

Beam Cloud logo

Beam Cloud

Cloud

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

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: Beam Cloud free tier limited to $30 monthly credits with 5 GPU containers; 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 Beam Cloud and Cody actually diverge.

Attributes where Beam Cloud and Cody differ
AttributeBeam CloudCody
Pricing modelFreemium with pay-per-millisecond usage chargesfreemium
PlatformsCloud, PythonWeb
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 Beam Cloud

  • Sub-second cold starts
  • Inference endpoints
  • Task queues
  • Sandboxes
  • Multi-cloud support
  • Python SDK
  • Global distribution
  • Massive parallelization

Only in Cody

Nothing recorded that Beam Cloud does not also cover.

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

Cody

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

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

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

Cody

Free

No published plan breakdown. See the Cody review.

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 Cody if

  • You want to start without paying.
Cody review

Questions people ask

Is Beam Cloud or Cody better?
Neither clearly leads. Beam Cloud 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, Beam Cloud or Cody?
Beam Cloud starts at Free and Cody at Free.
Does Beam Cloud or Cody run on more platforms?
Beam Cloud runs on Cloud, Python. Cody runs on Web.
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 Cody is typically brought in for.
What can Beam Cloud do that Cody cannot?
Beam Cloud covers Sub-second cold starts, Inference endpoints, Task queues, Sandboxes.

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
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
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
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
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
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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