Daytona vs Paperspace Gradient
Daytona
daytona.ioPaperspace Gradient
paperspace.comSide by side
| Figure | Daytona | Paperspace Gradient |
|---|---|---|
| Price from | Free | $8/mo |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 9 | 17 |
| Spec score · Coding Playgrounds | 9.2 (#8) | 9.1 (#10) |
| Company founding | Daytona's own about page says the company was founded in 2023. | G2 lists Paperspace as serving customers since 2014. |
| Company legal name | Crunchbase lists the legal name as Daytona Platforms Inc. | Crunchbase lists the legal name as Paperspace, Co. |
| Compliance | Daytona's Trust Center lists GDPR, HIPAA, SOC 2, ISO/IEC 27001, SOC 2 Type 1, and SOC 2 Type 2 compliance materials. | The security page says its datacenters meet SOC 1, SOC 2, PCI-DSS, and ISO 27001 standards. |
| Documentation depth | The official docs cover platform concepts, sandbox classes, agent tools, human tools, webhooks, security, observability, deployments, SDK references and CLI usage. | The documentation includes getting-started guides, how-to articles, concepts, reference material, limits, known issues, support pages, CLI references, and SDK/API examples. |
| Funding | Ry Walker Research reports a $24 million Series A in February 2026 led by FirstMark, with Datadog and Figma Ventures participating. | Paperspace announced a $13 million Series A that brought total funding to $19 million. |
| Rating on G2 | 4.3 out of 5 from 24 reviews. | Paperspace Core is rated 4.9 out of 5 from 10 reviews. |
| Security certifications | Daytona says its Trust Center provides documentation for SOC 2 Type I and HIPAA certifications. | Paperspace states that its datacenters meet ISO 27001, SOC 1, SOC 2, PCI-DSS, FISMA Moderate, and Sarbanes-Oxley requirements. |
| Self-hosting | Bring-your-own-compute custom regions let organizations attach their own runner machines and control locality and infrastructure. | Enterprise Gradient can be hosted on private cloud, on-premises infrastructure, or private clusters and is marketed as running without limits. |
| Support | The terms state that Daytona support may be provided through email, Slack, in-app chat, video support, and community forums. | Paperspace lists free ticket-based support seven days a week and contract-based enterprise support with infrastructure assistance and customer success managers. |
| What it does | Daytona provides secure, elastic infrastructure for executing AI-generated code inside isolated sandboxes. | Paperspace is a cloud machine-learning platform for developing, training, and deploying AI applications with GPU-backed infrastructure. |
Plans
Daytona
- Pay-as-you-goPrice not published
- Free compute creditFree
- Start-upsFree
- StorageFree
- Memory$0.02 a month
- Compute vCPU$0.05 a month
- Windows compute$0.09 a month
- EnterprisePriced on request
- Pay as you goPrice not published
Paperspace Gradient
- Free (Individual)Free
- Pro (Individual)$8 a month
- Growth (Individual)$39 a month
- Free (Team)Free
- Pro (Team)$12 a month
- Growth (Team)$39 a month
- T0Free
- T1$12 a month
- FreeFree
- FreeFree
In their own words
Daytona
Daytona provides a secure, elastic runtime for executing AI-generated code and agent workflows. Its homepage states that sandbox creation takes under 90ms, and Daytona describes runtime isolation for code execution. Programmatic controls cover processes, file-system operations, Git integration, and built-in language-server support. SDK examples or interfaces are shown for Python, TypeScript, Ruby, Go, and Java. Listed uses include AI evaluations, code interpreter workloads, coding agents, and data analysis. The product's listed environments include API, Linux, macOS, self-hosted, web, and Windows; its CLI documentation supports macOS, Linux, and Windows. Documentation lists Claude, Cursor, and Windsurf as supported agents. Network options include IP and domain allow lists, outbound blocking, and chained proxies. Organization-scoped secrets are encrypted at rest and injected as placeholders into sandboxes, with plaintext substituted only for allowed HTTPS hosts. Daytona has free offerings and usage-based pricing; compute, memory, storage, and Windows rates are listed, while Enterprise pricing requires contacting sales.
Paperspace Gradient
Paperspace Gradient is a machine learning platform for building, tracking, and collaborating on models. Its browser-based IDE launches GPU-enabled Jupyter notebooks; teams can share projects, invite collaborators, and connect GitHub to manage code and compute resources. Notebook environments run in Docker containers. For deployment, Gradient serves models through API endpoints, with runtime, instance-type, and autoscaling choices. On-demand GPU and IPU instances are available, and paid instance utilization can cost extra beyond plan fees. Gradient supports major machine learning frameworks and libraries. Plans include free options and paid options listed from $8/mo; individual and team plans have different storage allowances, and notebook plans specify limits on notebooks and running sessions. Gradient is offered for beginners, ML/AI engineers, data scientists, researchers, teams, research groups, and startups. Paperspace also lists a Windows, macOS, and Linux beta desktop app, along with centralized permissions and activity logs.