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Daytona vs Modal. Rows marked Differs have different values.

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Daytona

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Modal

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TypeStartupStartup
CategoriesDiffers
In one lineElastic sandboxes for running AI-generated code.Serverless cloud built for AI and agentic compute.
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Pros
  • User reportsA user reports that it can resize a running sandbox without stopping it, unlike Modal.[1]
  • User reportsAgent startups run it in production, including as a fallback provider.[1][2]
  • User reportsSimple per-second pricing per vCPU and per GiB of RAM (users quote $0.0504/h per vCPU and $0.0162/h per GiB).[1]
  • User reportsSmall conveniences such as filesystem snapshots and images built in code make agent sandboxes easy to set up, according to a user.[1]
  • DocsSupports GPUs in sandboxes and checkpoint/restore on gVisor (per Modal's team on HN; a competitor also calls it the only sandbox provider with GPUs).[1][2]
  • User reportsUsers like its Pythonic decorator API and the $30 of free credits each month.[1][2]
  • User reportsSome teams run thousands of on-demand coding agents a day on it.[1]
Cons
  • MetadataCore development went private in June 2026, and the public GitHub repo is archived.[1][2]
  • User reportsStrict limits on concurrent resources; one user called their startup credits close to useless until they reached tier 3.[1][2]
  • User reportsPer-second billing adds up for sandboxes left running; one team found even a minimal setup costly at scale and wanted flat-fee pricing.[1][2]
  • User reportsA competitor says its Sysbox-based isolation has problems with low-level workloads.[1]
  • User reportsResizing means stop, resize, start (about 3 seconds, and running processes are killed), so one user found its autoscaling worse than Daytona's.[1]
  • User reportsIt uses gVisor rather than Firecracker, and gVisor has missing or inaccurate syscalls that you may have to debug.[1][2]
  • User reportsUpstream cloud outages have reached it, as an incident on Modal's status page showed.[1]
  • User reportsA customer's sandbox was the launch point for a rogue-agent hack reported by Reuters (Modal says its platform was not compromised), so you need strict egress rules and permissions.[1]
Best forTeams that want resizable, long-lived agent sandboxes with straightforward per-second pricing.Python teams that want GPU-capable sandboxes and serverless compute for agents on one platform.
Watch out forWith the open-source repo archived, self-hosting or forking is no longer a realistic exit.Lock down egress and permissions yourself, and expect gVisor limits for Docker-heavy workloads.
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