Archil vs Modal
Pick Modal for serverless Python compute, especially GPUs, with Volumes for data written in batches and reloaded between steps. Pick Archil when many sandboxes share files live, each attempt needs a millisecond branch, or agents need renames and in-place edits on your own bucket; an Archil disk mounts in Modal's VM sandboxes and is reachable from Modal functions through the SDK.
Where Archil stands out
Shared without reloads
Clients see others' changes as caches refresh; a Modal Volume needs a reload with no files open.
Full POSIX on your bucket
Renames, appends and random writes work on a synced bucket; Modal's Mountpoint-based bucket mounts don't support them.
Branches in milliseconds
Checkpoint and branch a whole disk in tens of milliseconds; Modal's sandbox snapshots skip mounted Volumes.
Archil and Modal, side by side
| Archil | Modal | |
|---|---|---|
| What it is | Persistent disks (POSIX and S3 API) plus Firecracker sandboxes on a disk | Serverless functions, GPUs and sandboxes |
| Sandbox isolation | Firecracker microVM | gVisor by default, or a VM runtime |
| When a sandbox ends | Disks kept; pause keeps memory; sessions pause after 24 hours | Up to 24 hours; state kept in Volumes or snapshots (30-day default expiry) |
| One store shared by many sandboxes | Yes, read-write; changes appear as caches refresh | Yes; readers reload, last write wins |
| Snapshots and forks | Checkpoint 13 ms, branch 33 ms (p50), any size; sandbox fork | Filesystem, directory and memory snapshots (memory is alpha); Volumes excluded |
| Your own bucket | Two-way sync with S3, GCS or R2, full POSIX | S3, R2 and GCS mounts on Mountpoint: no appends, random writes or renames |
| Read data from outside | S3-compatible API and SDKs | Modal CLI and Python SDK |
| Billing model | Active storage per GiB-month; sandbox CPU and memory per hour | Per second for CPU, memory and GPU; Volumes per GiB-month |
- What it is
- Archil: Persistent disks (POSIX and S3 API) plus Firecracker sandboxes on a disk
- Modal: Serverless functions, GPUs and sandboxes
- Sandbox isolation
- Archil: Firecracker microVM
- Modal: gVisor by default, or a VM runtime
- When a sandbox ends
- Archil: Disks kept; pause keeps memory; sessions pause after 24 hours
- Modal: Up to 24 hours; state kept in Volumes or snapshots (30-day default expiry)
- One store shared by many sandboxes
- Archil: Yes, read-write; changes appear as caches refresh
- Modal: Yes; readers reload, last write wins
- Snapshots and forks
- Archil: Checkpoint 13 ms, branch 33 ms (p50), any size; sandbox fork
- Modal: Filesystem, directory and memory snapshots (memory is alpha); Volumes excluded
- Your own bucket
- Archil: Two-way sync with S3, GCS or R2, full POSIX
- Modal: S3, R2 and GCS mounts on Mountpoint: no appends, random writes or renames
- Read data from outside
- Archil: S3-compatible API and SDKs
- Modal: Modal CLI and Python SDK
- Billing model
- Archil: Active storage per GiB-month; sandbox CPU and memory per hour
- Modal: Per second for CPU, memory and GPU; Volumes per GiB-month
Where the data lives
Many sandboxes mount one Volume. Readers reload to see commits; last write wins.
Mounts read-write anywhere, outlives every sandbox, and is also an S3 bucket.
Measured inside a Modal sandbox
sync on the mount point. Medians of 3 runs, except the 4 KiB writes (100 in a row) and provisioning (5). Run it yourself.Create a 4 KiB file and make it durable
Lower is better- Archil disk in the same Modal sandbox20 ms
open, write, fsync, close
- Modal Volume108 ms
open, write, fsync, close, then sync to commit
npm ci, 10,538 files, from a local cache
Lower is better- Archil disk in the same Modal sandbox1.85 s
- Modal Volume10.5 s
Delete that node_modules tree
Lower is better- Archil disk in the same Modal sandbox0.46 s
- Modal Volume3.87 s
Write 1 GiB sequentially and make it durable
Higher is better- Archil disk in the same Modal sandbox685 MB/s
- Modal Volume395 MB/s
Read that 1 GiB from a new sandbox
Higher is better- Archil disk in the same Modal sandbox331 MB/s
about 40 ms from this sandbox, so each cache miss crossed that distance
- Modal VolumeOther sandboxes' writes appear only after a commit and a reload624 MB/s
- Another sandbox sees a new file
- ArchilAfter about 28 s with default client caching, or about 70 ms when the reader runs
archil invalidate-cachebefore looking - Modal VolumeNot within 60 s: a running sandbox needs a reload to see another sandbox's commit
- Data survives deleting the sandbox
- ArchilYes: the 1 GiB file read back intact in 3 new sandboxes
- Modal VolumeYes: the 1 GiB file read back intact in 3 new sandboxes
- Fork the stored data
- ArchilCheckpoint, branch and mount the branch in about 1 s, with the 1 GiB file intact
- Modal VolumeNot supported: sandbox snapshots don't include Volumes
- Create the storage
- Archil0.14 s (median of 5, API call from San Francisco)
- Modal Volume0.24 s (median of 5, API call from San Francisco)
- Attach it to a running sandbox
- ArchilInstall the client in 6.4 s, then mount in 111 ms (medians of 5 new sandboxes)
- Modal VolumeVolumes are attached when the sandbox is created
How they differ
Architecture
Modal runs functions, images and sandboxes defined in Python (JavaScript and Go SDKs for sandboxes), with GPUs. It recommends the VM runtime for FUSE and Docker. Volumes are a distributed file system, not a block device.
An Archil disk is an elastic POSIX file system, mounted over FUSE anywhere and reachable over S3. Archil sandboxes boot from a disk, so files move between Archil, Modal VM sandboxes and backend services.
Data durability and persistence
Modal sandboxes default to 5 minutes. Memory snapshots expire after 7 days; filesystem snapshot expiry is configurable. Volume writes commit every few seconds and when the sandbox ends.
An Archil write is durable when fsync returns, designed for 99.999% durability across Availability Zones. A session pauses after 24 hours with its processes intact.
Sharing and branching
Volumes v2 handles hundreds of concurrent writers, read-write or read-only. Reload works only with no open files, and there's no distributed locking.
Archil uses shared or conditional mode for up to 5,000 clients; changes appear within seconds, or at once with archil invalidate-cache. A client can check out a path for exclusive writes. See checkpoints and branches.
Bucket access and data format
Modal's bucket mounts inherit Mountpoint's limits: no appends, offset writes or renames.
A disk synced to your bucket supports standard POSIX operations, keeps each file as an ordinary object at its path, and caches active data on Archil's SSDs.
Pricing model
Modal: CPU and memory per second at the greater of request and use, GPUs per second, Volumes per GiB-month after a free allowance, egress per GiB. See Modal pricing.
Archil: active data per GiB-month with a lower archive rate, sandboxes per vCPU-hour and GiB-hour; synced disks also pay your cloud for the bucket. See Archil pricing.
Using them together
In a VM sandbox (runtime="vm"), install the Archil client, keep the mount token in a Modal Secret and mount at /mnt/archil. Default-runtime functions and sandboxes can't mount FUSE and use the Archil Python SDK. See the Modal guide.
Which one should you use?
Use Modal when
- GPUs for training, inference or evaluation
- Python-defined compute that scales without infrastructure
- batch-written files that readers reload between steps
Use Archil when
- agents build on each other's files while they work
- each attempt needs its own branch, in milliseconds
- renames, appends and in-place edits on your own bucket
- files and processes kept past a 24-hour session
Use both: Modal for GPUs and functions, Archil for a shared, branchable disk.
Questions people ask
More comparisons
- Sandbox storage comparedPersistence, sharing, forks and buckets across sandbox providers.
- Archil vs E2BShared, durable disks next to E2B's pausable sandboxes
- Archil vs DaytonaLocal-speed shared disks, or Daytona's included Volumes
- Archil vs Vercel SandboxOne disk many sandboxes write, or single-writer Drives
- Archil vs Mountpoint for Amazon S3Full POSIX over your bucket, or fast S3 reads
Or see every comparison, grouped by sandboxes, file systems and object storage.