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Modal

A serverless compute platform for AI workloads, including elastic inference, agent sandboxes, batch jobs, and training, billed for the time code runs.

8.4/10
Overall Score
Recommend

Modal is a developer compute option for elastic GPU jobs and agent sandboxes on usage-based pricing.

Best for

Teams that want elastic GPU jobs and agent sandboxes without reserving a cluster.

Not ideal for

Buyers that want a long-term dedicated GPU campus lease or a single-model API subscription.

Co-founded by Erik Bernhardsson.

Verdict

Modal is a great fit for developers who need elastic GPU compute for inference, agent sandboxes, batch jobs, or short-lived training. Usage-based pricing is honest: you pay for the time the code runs, and it tends to look good on bursty workloads. Builders like the developer experience and cold-start story; it stands as a sharp elastic compute option, not a multi-year campus lease.

Score Breakdown

How Modal scores in the categories that matter to its buyers.

Buyer outcomes

Elastic inference
8.5
Agent sandboxes
8.5
Batch and training jobs
8.4
Usage-based fit
8.2

Company & commercial

Innovation & product leadership
8.6
Project management & communication
8.0
Pricing
8.5
Contract fairness
8.4

Pricing

Modal bills GPU, CPU, and memory by the second. Hourly figures below multiply Modal’s published per-second GPU rates by 3,600 and are USD from Modal’s public pricing page as of September 2026. Workspace plans add a monthly fee plus included compute credit. Region and non-preemptible multipliers can raise the effective rate; reserved enterprise deals differ.

Plan / SKUMeterPrice (USD)What stands out
Starter Workspace $0 / mo + compute $30 / mo free compute; 3 seats; 10 GPU concurrency
Team Workspace $250 / mo + compute $100 / mo free compute; 50 GPU concurrency
Enterprise Workspace Sales quote Higher concurrency, SSO, HIPAA options
Nvidia T4 GPU-second $0.59 / hr equiv. $0.000164 / sec
Nvidia L4 GPU-second $0.80 / hr equiv. $0.000222 / sec
Nvidia A10 GPU-second $1.10 / hr equiv. $0.000306 / sec
Nvidia L40S GPU-second $1.95 / hr equiv. $0.000542 / sec
Nvidia A100 40GB GPU-second $2.10 / hr equiv. $0.000583 / sec
Nvidia A100 80GB GPU-second $2.50 / hr equiv. $0.000694 / sec
Nvidia RTX PRO 6000 GPU-second $3.03 / hr equiv. $0.000842 / sec
Nvidia H100 SXM5 GPU-second $3.95 / hr equiv. $0.001097 / sec
Nvidia H200 SXM GPU-second $4.54 / hr equiv. $0.001261 / sec
Nvidia B200 GPU-second $6.25 / hr equiv. $0.001736 / sec
Nvidia B300 GPU-second $7.10 / hr equiv. $0.001972 / sec

The Field at a Glance

How Modal compares with other Inference & model hosting vendors we reviewed, by Overall Score and relative typical engagement cost.

6 7 8 9 Overall Score $ $$ $$$ $$$$ Relative typical engagement cost Replicate Beam Cerebrium Together AI Modal 8.4
Modal Replicate Beam Cerebrium Together AI

Modal scores 8.4 in Inference & model hosting, ahead of Replicate (8.0), Beam (7.8), Cerebrium (7.8), and Together AI (7.3). Relative cost lands upper-mid for this subcategory.

Use-case matrix

Use caseFitNotes
Elastic inferenceStrongA published primitive.
Agent sandboxesStrongSecure environments for code execution.
Batch GPU jobsStrongSold beside inference.
Long-term dedicated campus leaseWeakA facilities buy.

Review Excerpts

Below are excerpts from public reviews. Paid reviews and pay-for-play sites such as Clutch were excluded.

What people like

“I like how Modal Labs completely eliminates the infrastructure tax since we don't have to manage Kubernetes, configure CUDA drivers, or manually build Docker containers just to run a Python script on a GPU.”

G2 reviewer, computer software · AWS Marketplace · source
What people don't like

“Solid offering, a lot of unexpected payments that lead us to switch to another provider”

Uri G. · AWS Marketplace · source
How it's used

“Love Modal. We use it for data processing, queues, apis, and all sorts of random things. Such a great product!”

codeptualize · Hacker News · source
What people like

“I've been transitioning some compute-heavy workloads from Lambda/AWS Batch to modal recently and have nothing but good things to say about it. One of those technologies where you are shipping the same afternoon as checking it out. "Wow, that just works?" Highly highly recommended, feels like the future IMO.”

extr · Hacker News · source
What people like

“Modal's usability is amazing, I'm just a bit wary because they use AWS but somehow their prices are lower than that of AWS's GPU machines.”

chpatrick · Hacker News · source

Company Facts

Founded
2021 (CB Insights)
Headquarters
New York, New York, United States (CB Insights)
Key investors
Redpoint Ventures, Accel, Lux Capital, Amplify Partners, Menlo Ventures (CB Insights)
Website
modal.com

Key Leadership

Erik Bernhardsson

Erik Bernhardsson

Co-founder and CEO

Methodology

This page is an independent evaluation of Modal for buyers comparing options in inference & model hosting. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Modal did not pay for this review.

What we scored

The headline number is an Overall Score on a 0-10 scale. Eight criteria fall under it in two groups.

  • Buyer outcomes (for inference & model hosting)
    • Elastic inference
    • Agent sandboxes
    • Batch and training jobs
    • Usage-based fit
  • 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

InputWeightWhat it covers
Reviews40%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.
Product35%Hands-on look at screens and workflows.
Pricing15%Whether the price looks fair for what you get.
Docs & training10%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

Modal is graded here as inference & model hosting. Criteria scores can move as more review volume and product checks are added.

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