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Daytona
Sandbox infrastructure for AI-generated code, founded in 2023 by the team behind Codeanywhere, with stateful sandboxes, desktops, and GPUs billed per second.
Teams running coding agents, evaluations, reinforcement learning, or computer-use agents that need fast, stateful sandboxes and pay-as-you-go pricing.
Buyers who want a flat monthly price, or teams that need SSO and audit logs without an enterprise contract.
Verdict
Daytona is worth using for teams whose agents need fast-starting sandboxes that keep state for long tasks. Coding agents increasingly run code they wrote themselves, and Daytona gives each run an isolated computer it can pause and resume. It suits teams that run many agents at once and need to provision sandboxes in large numbers.
Score Breakdown
How Daytona scores in the categories that matter to its buyers.
Pricing
Daytona publishes per-second usage prices with no plan fee. New accounts get $200 in free compute.
| Plan | Price | What stands out |
|---|---|---|
| vCPU | $0.0504 / hour | Billed per second |
| Memory | $0.0162 / GiB-hour | |
| Storage | $0.000108 / GiB-hour | First 5 GiB free |
| Windows | $0.0858 / vCPU-hour | |
| GPUs | $0.57 to $4.08 / hour | RTX 4090 up to Nvidia B300 |
| Startups | Up to $50,000 in credits | Startup program |
| Enterprise | Custom | Larger limits, SSO, audit logs, deployment in your cloud |
The Field at a Glance
How Daytona compares with other AI agent sandboxes vendors we reviewed, by Overall Score and relative typical engagement cost.
Daytona scores 7.9 in AI agent sandboxes, under Northflank (8.1) and E2B (8.0), and ahead of Runloop (7.7) and Freestyle (7.6). Relative cost lands lower for this subcategory.
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Fast sandbox creation | Strong | Sandboxes start in under 90 milliseconds. |
| Stateful sandboxes | Strong | Sandboxes can run indefinitely and snapshot state. |
| Desktops | Strong | Linux, Windows, and macOS desktops are available. |
| GPUs | Strong | On-demand GPUs from RTX 4090 to B300. |
| Flat monthly pricing | Weak | All billing is usage-based. |
| SSO on self-serve | Weak | SSO and audit logs need Enterprise. |
Who it’s for
Good fit
- Coding agent builders
- Teams running agent evaluations
- RL and computer-use teams
Poor fit
- Buyers wanting a fixed monthly bill
- Teams needing SSO without a contract
- Workloads with no untrusted code
Review Excerpts
Below are excerpts from public reviews. Our team scoured public reviews, forums, and chat rooms to get a balanced view of customers' experience with this company. Paid reviews and pay-for-play sites such as Clutch were excluded.
“One thing that Daytona does incredibly well is its sandbox provisioning times. When you're provisioning tens of thousands of sandboxes, those milliseconds add up, and no other solution we tested could match their speed.”
“While building our coding agent, we hit limitations around our sandboxing. Daytona jumped in, contributed a working PR within hours, and fully unblocked us. They pulled a Collison.”
Daytona bills vCPU, memory, and storage by the second with no plan cap, so teams have to model usage to forecast a monthly bill, and SSO and audit logs need an Enterprise contract.
Company Facts
- Founded
- 2023 (Daytona)
- Latest funding
- $24M Series A, February 2026 (Daytona)
- Key investors
- FirstMark Capital, Pace Capital, Upfront Ventures, Datadog, Figma Ventures (Daytona)
- Website
- daytona.io
Key Leadership
Ivan Burazin
Co-founder and CEO
Methodology
This page is an independent evaluation of Daytona for buyers comparing options in AI agent sandboxes. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Daytona did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.
- Buyer outcomes (for AI agent sandboxes)
- Sandbox start speed
- Stateful long-running sandboxes
- Desktops and GPU options
- Cost predictability
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.
Scope
Daytona is graded here as AI agent sandboxes. Criteria scores can move as more review volume and product checks are added.