AnyscaleProduction-scale AI with Ray

ModalCloud infrastructure for teams that develop, train, and serve AI applications at scale.

Comparison · MLOps Platforms · weekly run Nov 2

Anyscale vs Modal

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

Modal is the stronger AI pick in MLOps Platforms: it has a visibility score of 1.3 versus 0.6 for Anyscale, and ranks ahead in 100% of the answers that name both.

Choose Anyscale if…

You need ISO/IEC 27001 coverage

Choose Modal if…

You want the brand AI engines rank higher (1.3 vs 0.6)
You want a free plan to start
You need HIPAA coverage
Strong for scaling cutting-edge generative AI and multi-modal models

AI visibility side by side

Latest weekly run · Nov 2

Metric	Anyscale	Modal
Visibility score	0.6%	1.3%
Change vs last week	New	New
Rank in MLOps Platforms	#43	#36
Share of voice	0.3%	0.5%
Mentions this run	2	3
Positive in AI answers	—	—

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

Anyscale 0pp · Modal 0pp over 0 weekly runs.

Engine by engine

Modal leads on 2 of 3 engines

ChatGPT

0.9%

AI Mode

0.9%

3.9%

Perplexity

AnyscaleModal

Head to head in AI answers

1 engine answers name both brands

0Anyscale ranked higher

1Modal ranked higher

Prompt	Engine	Anyscale	Modal
Best MLOps platform for startups	AI Mode	#10	#7

Features, pricing & fit

Dimension	Anyscale	Modal
Pricing model	Usage-based	Usage-based
Entry price	Contact sales	Free; paid from $250 / mo
Free plan	No	Yes
Deployment	Hosted by Anyscale, or Bring Your Own Cloud (BYOC) inside the customer's own cloud or on-prem	Serverless cloud capacity pooled from more than 20 cloud providers, with regions across the US, Europe, Asia Pacific and other areas.
Compliance	SOC 2 Type II, ISO/IEC 27001	SOC 2 Type II, HIPAA
Support	Business-hours support with 5 case submissions on hosted plans, 24x7 expert support with BYOC, Enterprise SLAs with 24x7 coverage and unlimited case submissions, Documentation, discussion forum and Slack community for Ray	Modal Community Slack on Starter and Team plans, Private Slack support and embedded ML engineering services on Enterprise
Founded	2019	2021
Headquarters	San Francisco, California, USA	New York City, NY, United States
Employees	201–500	201–500
Funding	Series C (second tranche)	Series D · $1200M raised
Best for	Python teams and foundation model builders that run data-intensive training, batch inference and data curation workloads on their own GPUs.	Startups, independent developers and larger teams that run GPU inference, fine-tuning or agent sandboxes and want to pay only for compute used.