Modal

Modal — Serverless Python compute with a Sandbox API bolted onto a GPU-first platform. Modal is a serverless runtime for Python workloads built on gVisor, with its own scheduler and years of aggressive container-start engineering behind it. The Sandbox API exposes that infrastructure for running untrusted or agent-generated code, including on GPUs. It is the strongest option here if the sandbox needs to sit next to real ML work, and an awkward fit if you just want a plain Linux box. Founded 2021. Series B.

We track it in 1 comparison — Sandbox providers — so every claim below is a cell in a table you can open and check rather than an impression. Across those rosters it sits against 19 other tools, and what follows is where it visibly separates from them.

Where it wins.

• GPU — Yes, which only 3 of 13 tools here manage.
• Funding — series-b, 5th of 15.

Each of those is ranked against the whole roster on its category page, not against a hand-picked subset, so a first place here means first of everything we list.

Provenance. 25 of 26 tracked fields carry a value for Modal, and 11 of those cite a document you can open. Last verified 2026-07-23. Every figure keeps its own provenance — measured by us, claimed by the vendor, inferred, or community-reported — and we would rather print a dash than a guess.

Its nearest neighbour in our data is ascii. Modal is ahead on Meter (per-second against subscription) and Custom images (Yes against Partial). That pattern repeats across the rest of the roster — see Modal alternatives for the other rivals, each compared the same way.

Founded

2021

Funding

Series B

Fields we track

25 of 26

Last verified

2026-07-23

Buy Modal for the GPU story and the Python ergonomics, not for boot time — it is a serverless compute platform that grew a Sandbox API, and it shows. If your agent needs to run inference next to the code it just generated, nothing else here is close.

Cold start

1.5 s11th of 16

Inferred

GPU

●Yes1st of 13

Vendor-claimedverified 2026-01-15source

Price / hour

$0.238 /hr8th of 9

Inferredverified 2026-07-23source

Isolation

gvisor11th of 16

Vendor-claimedverified 2026-01-15source

Custom images

●Yes1st of 20

Vendor-claimedverified 2026-01-15source

Streaming output

●Yes1st of 16

Vendor-claimedverified 2026-01-15source

Max runtime

1440 min1st of 16

Vendor-claimedverified 2026-01-15source

Persistent FS

●Yes1st of 16

Vendor-claimedverified 2026-01-15source

Modal is the right call in these situations, each one drawn from a field we actually record:

• The sandbox needs a GPU on a self-serve plan.
• Your team is Python-first and already writes Modal functions.
• One platform for batch ML and untrusted execution.
• GPU is your binding constraint. Modal records Yes, which only 3 of the 13 tools in the Sandbox providers roster do. We define that field as whether a sandbox can be attached to a GPU on a self-serve plan.
• Funding is your binding constraint. Modal records series-b, 5th of 15 in the Sandbox providers roster. We define that field as latest disclosed funding stage of the company operating the product, as a crude proxy for how long it can keep subsidising compute.

Nothing in our data disqualifies Modal on a field we score — it is not bottom of its roster on anything weighted. That does not make it universally correct. The honest failure modes for a tool in this position are commercial rather than technical: pricing that changes under you, a licence that changes under you, or a roadmap that drifts away from your use case. Check the timeline for changes we have logged, and Modal alternatives for what teams move to when it stops fitting.

What we don't know. 1 of the 26 fields we track for Modal are still blank: GitHub stars. Those render as dashes rather than as zeroes or assumptions, because an empty cell and a bad cell are not the same thing and only one of them is honest. If you know any of these figures and can point at a document, tell us.