Index › IT › Products › Modal · November 2026 Edition
ML platforms · Named, not ranked

Modal

Modal is a serverless GPU compute platform for running machine learning training and inference jobs without adopting a full cloud ML suite · modal.com ↗

–Too few to rank
4/14Models named it
2First choices
0Warnings
November 2026 Edition · all company sizes counted.
Ranked inML platforms #23 mid-market
What AI models recommend

Named, too few times to rank.

A product needs 10 labels in a category before a share is stated. Modal has 3.

Why models recommend it

“Start with open-source frameworks (PyTorch, Scikit-learn) paired with developer-centric infrastructure like Modal, RunPod, Hugging Face, or Lambdalabs”Gemini 3.5 Flash · Negative question · alternative
“BentoML, Modal, or Anyscale (Ray) — Specialized tools that make API endpoint deployment”Gemini 3.5 Flash · Paraphrase question · alternative

What gives them pause

No model argued against it.

Also on the shortlist

The products named in the same answers as Modal, over the 10 answers that named it, and how often each was the first choice instead.

A side-by-side page exists where both products are among a category's top eight.

At a glance

Stated on Modal's own site, not checked by Gane.

For
teams that develop, train, and serve AI applications at scale
Price stated
$30 / month free compute
Starting price
$0 + compute / month
Free plan or trial
$30 / month free compute
Certifications
SOC 2 Type II
Hosting
US West, US Central, US East, US South, EU West, EU North, South Asia Pacific, Northeast Asia Pacific
Customers named
DoorDash, Cognition, TypeSafe AI, Ramp, Reducto, AllenAI, Blend, Meta
Visit modal.com ↗

How this is measured

Fourteen AI models from 12 labs are asked the same buying questions six ways, for three company sizes. Standings refresh every edition.

Gane sells AI visibility software. No company can pay to change a result.

Read the method →

Sources returned with these answers

The sites and pages the answers that named Modal came back with. A fact about retrieval, not a cause of the answer.

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted. These counts come from 2 of the 10 answers that named Modal and are not a share of its labels.

By model

How each model answered on Modal across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ModelFirst choiceAlternativeMentionWarningLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash02103
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000

What it publishes

Addresses on modal.com
100
subdomains included
Content
89
counted in the table below
Documentation
0
Product · Integration
0 · 0
KindPagesLast 90 days2025-10 to 2026-09LatestCategories named
Blog6702026-05-20
Comparison1102025-09-05
Case study602025-11-19
Report or ebook302025-10-31
Glossary or explainer202025-10-15
How it is countedHide how it is counted

Every page modal.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. Read September 29, 2026.