CodeSandbox vs Daytona
Compare CodeSandbox and Daytona by workflow, pricing, privacy, model support, and best use cases.
CodeSandbox
Choose CodeSandbox when you need shareable cloud development environments, collaborative browser coding, or scalable sandbox infrastructure for AI agents and code execution. Choose StackBlitz for browser-native WebContainers, GitHub Codespaces or Gitpod for container-native repo workflows, and Replit or Bolt.new when prompt-to-app AI building is the priority.
Daytona
Choose Daytona when you are building AI agents, code interpreters, or developer platforms that need fast, isolated, stateful code execution. Choose GitHub Codespaces or Gitpod/Ona for full developer workspaces, CodeSandbox for collaborative cloud sandboxes, StackBlitz for browser-native web projects, or E2B when you want a more established AI-agent sandbox category comparison.
Key Differences
Workflow
CodeSandbox is a cloud development environment and sandbox infrastructure platform for browser coding, collaborative development, and programmatic code execution at scale.
Daytona is secure sandbox infrastructure for AI agents and code-execution products that need fast, isolated, stateful environments.
compare.fields.openSource
No
Yes
Feature Comparison
| Feature | CodeSandbox | Daytona |
|---|---|---|
| Primary workflow | CodeSandbox is a cloud development environment and sandbox infrastructure platform for browser coding, collaborative development, and programmatic code execution at scale. | Daytona is secure sandbox infrastructure for AI agents and code-execution products that need fast, isolated, stateful environments. |
| Type | resource | resource |
| Editor base | Browser | Browser |
| Pricing model | freemium | freemium |
| Starting price | $0 | $0 |
| Free plan | Yes | Yes |
| Open source | No | Yes |
| Local models | No | No |
| BYOK | No | No |
| Platforms | Web browser, VS Code extension, iOS app, CodeSandbox SDK, Browser Sandboxes, VM Sandboxes, GitHub repositories, Storybook, Sandpack | Cloud sandboxes, REST API, SDKs, Docker / OCI images, SSH, Web terminal, VS Code-style access where configured, Linux sandbox environments, Windows sandbox environments, GPU sandbox environments |
| Models | Unknown | Unknown |
| Enterprise features | Enterprise plan, Unlimited members, Custom VM specs up to 64 vCPUs and 128 GiB RAM, Bespoke concurrent VM limits, Custom hourly request limits, Dedicated support, SOC 2 Type II compliance, Optional SSO, Dedicated cluster option, Private projects, Private npm registry support, Live sessions, Custom deployment discussions through Together AI | Volume discounts, Custom resource quotas, Custom concurrency limits, Enterprise support, Security review, SDK and API integration support, Custom infrastructure discussions, Sandbox lifecycle management, Snapshot management, GPU sandbox options, Configurable runtime images, Network and firewall configuration options, Organization billing and spending visibility |
| Best for | Browser-based coding, Frontend prototypes, React, Vue, Angular, and JavaScript experiments, Runnable documentation, Teaching and workshops, Pair programming, Bug reproductions, Storybook component playgrounds, AI agent code execution, Code interpreter infrastructure, Development environments at scale, Teams that need shareable cloud workspaces | AI agent code execution, Code interpreter infrastructure, Running untrusted AI-generated code, Sandboxed developer tools, Programmatic execution environments, High-concurrency agent workflows, Stateful sandbox sessions, Snapshot-based agent workflows, Products that need isolated code runners, Teams building agent platforms, Secure evaluation of generated code, Infrastructure teams replacing ad hoc Docker execution |
| Not best for | Developers who primarily need AI autocomplete, Users looking for a prompt-to-app product builder, Teams that require fully local development, Organizations that want fixed monthly IDE pricing with no usage-based VM credits, Very large production monorepos without careful VM sizing and cost planning, Workflows requiring a full AI-native code editor experience | Developers looking for a complete AI code editor, Non-technical users looking for prompt-to-app builders, Teams that only need simple browser-based coding examples, Projects that require a GitHub-native CDE workflow, Users who want fixed monthly pricing with no usage-based compute, Small frontend demos better served by StackBlitz or CodeSandbox, Teams unwilling to design sandbox security, secrets, and network policies |
Use Case Winners
CodeSandbox is built around a Browser editor workflow.
Both CodeSandbox and Daytona have comparable signals here.
Both CodeSandbox and Daytona have comparable signals here.
CodeSandbox has stronger frontend or web workflow signals.
Neither tool shows a strong signal for this use case in the current structured data.
Daytona is marked as open source.
Pricing Comparison
CodeSandbox
- Build$0 / month
Free plan for learning and experimenting, with 5 members, monthly VM credits, private sandboxes, VS Code extension, and limited SDK usage.
- Scale$170 / workspace/month
Usage-based subscription with up to 20 members, higher monthly VM credits, on-demand VM credits, CodeSandbox SDK, more VM tiers, and higher concurrency limits.
- EnterpriseCustom
Custom deployment with unlimited members, bespoke concurrency, higher VM specs, dedicated support, SOC 2 Type II compliance, optional SSO, and dedicated cluster options.
- VM Credits$0.015 / credit
VM credits are used for VM Sandbox runtime; credit usage depends on VM size and runtime.
- Education / Open Source / Non-profitDiscounted
Special conditions and free or low-cost access for eligible education, open-source, community, and non-profit projects.
Daytona
- Free Trial$0
$200 in free compute included for trying Daytona sandboxes; no credit card required on the public pricing page.
- Pay-as-you-go Compute$0.000014 / vCPU-second
Usage-based CPU sandbox pricing, equivalent to about $0.0504 per vCPU-hour.
- Memory$0.00000450 / GiB-second
Usage-based memory pricing, equivalent to about $0.0162 per GiB-hour.
- Storage$0.00000003 / GiB-second
5 GB free, then usage-based storage pricing after the free allowance.
- GPUUsage-based / second
GPU sandbox pricing is listed for options such as Nvidia H100 and RTX PRO 6000, billed per second.
Privacy & Security
CodeSandbox
CodeSandbox runs projects in browser or VM sandboxes depending on environment type. VM Sandboxes execute code in isolated environments and may involve repository content, terminals, package installs, previews, environment variables, and collaboration sessions. Teams should avoid exposing secrets in public sandboxes, configure project privacy, review GitHub and npm permissions, and evaluate Enterprise or dedicated-cluster options for sensitive or regulated workloads.
Daytona
Daytona sandboxes may run code, files, dependencies, generated outputs, terminal logs, environment variables, snapshots, and API-controlled workflows. Because the platform is commonly used to execute AI-generated or untrusted code, teams should strictly control secrets, network access, filesystem persistence, snapshot retention, image provenance, outbound calls, and sandbox lifetime before connecting Daytona to production systems or sensitive data.
Choose CodeSandbox if...
- Browser-based coding
- Frontend prototypes
- React, Vue, Angular, and JavaScript experiments
- Runnable documentation
- Teaching and workshops
Choose Daytona if...
- AI agent code execution
- Code interpreter infrastructure
- Running untrusted AI-generated code
- Sandboxed developer tools
- Programmatic execution environments
Avoid CodeSandbox if...
- Developers who primarily need AI autocomplete
- Users looking for a prompt-to-app product builder
- Teams that require fully local development
- Organizations that want fixed monthly IDE pricing with no usage-based VM credits
- Very large production monorepos without careful VM sizing and cost planning
Avoid Daytona if...
- Developers looking for a complete AI code editor
- Non-technical users looking for prompt-to-app builders
- Teams that only need simple browser-based coding examples
- Projects that require a GitHub-native CDE workflow
- Users who want fixed monthly pricing with no usage-based compute