Developer Tools · head to head
Daytona vs Sweep

Daytona
Developer Tools
Infrastructure for spinning up secure, sub-second sandboxes to run AI-generated code
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Daytona pricing is purely usage-based with no flat monthly plan, which can make costs harder to predict for steady workloads.; Sweep limited to JetBrains IDEs only, not available for VS Code or other editors
- They diverge on capability: Daytona covers Sub-second sandbox creation, Sweep covers Autocomplete.
- Prices and features above were last checked on 29 August 2026.
Where they differ
Only the attributes on which Daytona and Sweep actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Developer Tools).
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 Daytona
- Sub-second sandbox creation
- Per-second billing
- GPU instances
- Windows OS support
- Enterprise BYOC
Only in Sweep
- Autocomplete
- AI Agent
- Full codebase indexing
- Code review functionality
- Multi-IDE support
- GitHub integration
What people use each for
The jobs each tool is most often brought in to do.
Daytona
- Running AI agent-generated code in a disposable, isolated sandboxnot Sweep
- Executing untrusted user code for a coding platformnot Sweep
- Running GPU workloads on demand without provisioning dedicated serversnot Sweep
- Testing Windows-specific code paths in a sandboxnot Sweep
Sweep
- Accelerating code completion for JetBrains developersnot Daytona
- Automating refactoring tasks across codebasesnot Daytona
- Handling bug fixes with full repository contextnot Daytona
- Code review and quality assurancenot Daytona
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Daytona
- Pricing is purely usage-based with no flat monthly plan, which can make costs harder to predict for steady workloads.
- GPU instances are priced separately and can be significantly more expensive than standard compute for AI-heavy use cases.
- Enterprise features like SSO, audit logs, and BYOC are only available by contacting sales rather than self-serve.
Sweep
- Limited to JetBrains IDEs only, not available for VS Code or other editors
- Free tier limited to 1,000 autocompletes per month
- API credit consumption varies by feature usage
- Performance dependent on codebase size and indexing quality
Pricing, plan by plan
Daytona
Free- Pay-as-you-go$undefined/mo
- $0.0504 per vCPU/hour
- $0.0162 per GiB memory/hour
- $0.000108 per GiB storage/hour after 5 free GiB
- Startup Program$undefined/mo
- Up to $50,000 in free credits for qualifying startups
- Enterprise$undefined/mo
- Custom usage limits
- SSO
- Audit logs
Sweep
Free- FreeFree
- 1,000 autocompletes
- 5 USD API credits included
- All JetBrains IDEs supported
- Pro$20/month
- Unlimited autocomplete
- Higher API credit allocation
- Priority support
- Ultra$60/month
- Unlimited autocomplete
- Maximum API credit allocation
- Extended context window
Which should you pick?
Choose Daytona if
- You need sub-second sandbox creation.
- You want to start without paying.
- You work on web, linux, windows, api.
- You also want per-second billing.
Choose Sweep if
- You need autocomplete.
- You want to start without paying.
- You work on JetBrains IDEs.
- You also want ai agent.
Questions people ask
- Is Daytona or Sweep better?
- Neither clearly leads. Daytona starts at Free and Sweep at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Daytona or Sweep?
- Daytona starts at Free and Sweep at Free.
- Does Daytona or Sweep run on more platforms?
- Daytona runs on web, linux, windows, api. Sweep runs on JetBrains IDEs.
- Can I use Daytona for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Daytona best used for?
- Daytona is most often used for running ai agent-generated code in a disposable, isolated sandbox, executing untrusted user code for a coding platform, running gpu workloads on demand without provisioning dedicated servers, testing windows-specific code paths in a sandbox. Of those, running ai agent-generated code in a disposable, isolated sandbox and executing untrusted user code for a coding platform are not what Sweep is typically brought in for.
- What can Daytona do that Sweep cannot?
- Daytona covers Sub-second sandbox creation, Per-second billing, GPU instances, Windows OS support. Sweep covers Autocomplete, AI Agent, Full codebase indexing, Code review functionality.
Answered from the vendors’ own pages
Daytona: How is Daytona usage metered?
Usage is billed per second across vCPU, memory, and storage consumed, with separate per-hour rates for GPU and Windows instances.
SourceSweep: What programming languages does Sweep support?
Sweep works with all programming languages supported by JetBrains IDEs, including Python, Java, JavaScript, Go, Kotlin, C++, and many others.
SourceDaytona: Is there a free plan, and what are its limits?
There is no flat free plan, but new signups receive $200 in free compute credit with no credit card required to start.
SourceSweep: Does Sweep retain my code data?
No. Sweep is SOC 2 Type II certified with zero data retention. Code is processed for suggestions but not stored.
SourceDaytona: Are discounts available for startups?
Yes, the Startup Program offers up to $50,000 in free credits for qualifying companies.
SourceSweep: Can I cancel my Sweep subscription anytime?
Yes. You can cancel your subscription at any time from your account settings with no long-term commitments or cancellation fees.
SourceRelated pages
Other head to heads
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- Daytona vs Coder
- Daytona vs Ona (formerly Gitpod)
- Daytona vs Namespace
- Daytona vs WarpBuild
- Daytona vs Turborepo
- Daytona vs Keycloak
- Daytona vs Vite
- Daytona vs Depot
- Daytona vs Harness
- Daytona vs Swagger UI
- Daytona vs Steampipe
- Daytona vs Tilt
- Daytona vs Webpack
- Daytona vs Avo
- Daytona vs Azure DevOps
- Daytona vs GitHub Copilot
- Daytona vs Refact
- Daytona vs PhpStorm
- Daytona vs JetBrains Rider
- Daytona vs Pieces for Developers
- Daytona vs Cody
- Daytona vs Pants Build
- Daytona vs Fig
- Daytona vs RAD Studio
- Daytona vs Restate
- Daytona vs RubyMine
- Daytona vs Sourcegraph
- Daytona vs GoLand
- Sweep vs CodeSandbox
- Sweep vs Coder
- Sweep vs Ona (formerly Gitpod)
- Sweep vs Namespace
- Sweep vs WarpBuild
- Sweep vs Turborepo
- Sweep vs Keycloak
- Sweep vs Vite
- Sweep vs Depot
- Sweep vs Harness
- Sweep vs Swagger UI
- Sweep vs Steampipe
- Sweep vs Tilt
- Sweep vs Webpack
- Sweep vs Avo
- Sweep vs Azure DevOps
- Sweep vs GitHub Copilot
- Sweep vs Refact
- Sweep vs PhpStorm
- Sweep vs JetBrains Rider
- Sweep vs Pieces for Developers
- Sweep vs Cody
- Sweep vs Pants Build
- Sweep vs Fig
- Sweep vs RAD Studio
- Sweep vs Restate
- Sweep vs RubyMine
- Sweep vs Sourcegraph
- Sweep vs GoLand

