Developer Tools · head to head
Daytona vs Refact

Daytona
Developer Tools
Infrastructure for spinning up secure, sub-second sandboxes to run AI-generated code
- From
- Free
- Rated
- -

Refact
Developer Tools
Autonomous AI coding agent for development tasks
- 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.; Refact requires configuration for optimal performance
- They diverge on capability: Daytona covers Sub-second sandbox creation, Refact covers Autonomous agent workflows.
- Prices and features above were last checked on 29 August 2026.
Where they differ
Only the attributes on which Daytona and Refact 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 Refact
- Autonomous agent workflows
- IDE chat
- Real-time code completions
- GitHub integration
- Database integration
- On-premise deployment
- Multi-LLM support
- 25+ language support
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 Refact
- Executing untrusted user code for a coding platformnot Refact
- Running GPU workloads on demand without provisioning dedicated serversnot Refact
- Testing Windows-specific code paths in a sandboxnot Refact
Refact
- Autonomous code generation for development tasksnot Daytona
- End-to-end bug fixes and refactoringnot Daytona
- Multi-language software development accelerationnot Daytona
- Enterprise development with data privacy requirementsnot 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.
Refact
- Requires configuration for optimal performance
- On-premise deployment adds operational complexity
- Free tier limited by daily agent request quota
- Coin system adds complexity to cost calculation
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
Refact
Free- FreeFree
- Limited daily agent usage
- Unlimited completions
- 2,000 coins for agent and chat
- Pro$10/month
- 40 daily agent requests
- 64k context window
- 10,000 coins monthly
- Enterprise$undefined/custom
- On-premise deployment
- Custom coin allocation
- Fine-tuning support
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 Refact if
- You need autonomous agent workflows.
- You want to start without paying.
- You work on VS Code, Web.
- You also want ide chat.
Questions people ask
- Is Daytona or Refact better?
- Neither clearly leads. Daytona starts at Free and Refact at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Daytona or Refact?
- Daytona starts at Free and Refact at Free.
- Does Daytona or Refact run on more platforms?
- Daytona runs on web, linux, windows, api. Refact runs on VS Code, Web.
- 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 Refact is typically brought in for.
- What can Daytona do that Refact cannot?
- Daytona covers Sub-second sandbox creation, Per-second billing, GPU instances, Windows OS support. Refact covers Autonomous agent workflows, IDE chat, Real-time code completions, GitHub integration.
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.
SourceRefact: How many programming languages does Refact support?
Refact supports 25+ programming languages including Python, JavaScript, Go, Rust, Java, 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.
SourceRefact: Can I deploy Refact on-premises?
Yes. Refact offers on-premise deployment options for organizations requiring complete data control and privacy.
SourceDaytona: Are discounts available for startups?
Yes, the Startup Program offers up to $50,000 in free credits for qualifying companies.
SourceRefact: What LLMs does Refact support?
Refact works with multiple LLMs including Claude, GPT-4, and open-source models, giving you flexibility in model selection.
SourceRelated pages
Other head to heads
- Daytona vs CodeSandbox
- Daytona vs Coder
- Daytona vs Ona (formerly Gitpod)
- Daytona vs Namespace
- Daytona vs WarpBuild
- Daytona vs Sweep
- 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 Pieces for Developers
- Daytona vs GNU Emacs
- Daytona vs Moonrepo
- Daytona vs Pants Build
- Daytona vs Atlantis
- Daytona vs Backstage
- Daytona vs Visual Studio Code
- Daytona vs Garden
- Daytona vs GitLab CI/CD
- Daytona vs HCP Terraform
- Daytona vs Helm
- Daytona vs Jitsu
- Daytona vs Notepad++
- Refact vs CodeSandbox
- Refact vs Coder
- Refact vs Ona (formerly Gitpod)
- Refact vs Namespace
- Refact vs WarpBuild
- Refact vs Sweep
- Refact vs Turborepo
- Refact vs Keycloak
- Refact vs Vite
- Refact vs Depot
- Refact vs Harness
- Refact vs Swagger UI
- Refact vs Steampipe
- Refact vs Tilt
- Refact vs Webpack
- Refact vs Avo
- Refact vs Azure DevOps
- Refact vs GitHub Copilot
- Refact vs Pieces for Developers
- Refact vs GNU Emacs
- Refact vs Moonrepo
- Refact vs Pants Build
- Refact vs Atlantis
- Refact vs Backstage
- Refact vs Visual Studio Code
- Refact vs Garden
- Refact vs GitLab CI/CD
- Refact vs HCP Terraform
- Refact vs Helm
- Refact vs Jitsu
- Refact vs Notepad++
