Modal vs Multimodal Comparison in 2025

Modal

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Effortless cloud compute for AI & Python. Run any code instantly on GPUs with Modal's serverless platform. Scale fast, pay per second.

Multimodal

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Multimodal: Enterprise AI for finance & insurance. Automates workflows, processes docs, aids decisions. Reduces costs, speeds up ops.

Modal

Launched	1999-03
Pricing Model	Paid
Starting Price
Tech used	Google Analytics,Google Tag Manager,Vercel,HSTS
Tag	Developer Tools,Inference Apis

Multimodal

Launched	2022-10
Pricing Model	Paid
Starting Price
Tech used	Google Tag Manager,Webflow,Amazon AWS CloudFront,Cloudflare CDN,Google Fonts,jQuery,Gzip,HTTP/3,OpenGraph,HSTS
Tag	Workflow Automation

Modal Rank/Visit

Global Rank	73995
Country	United States
Month Visit	469509

Top 5 Countries

38.54%

11.85%

6.53%

2.83%

2.49%

United States India Brazil Germany China

Traffic Sources

3.19%

0.5%

0.06%

6.92%

37.26%

52.06%

social paidReferrals mail referrals search direct

Multimodal Rank/Visit

Global Rank	324365
Country	Brazil
Month Visit	76660

Top 5 Countries

50.57%

20.43%

2.61%

2.5%

Brazil United States India United Kingdom Nigeria

Traffic Sources

4.46%

0.84%

0.26%

6.85%

31.16%

56.36%

social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Modal and Multimodal, you can also consider the following products

Lambda - Accelerate your AI development with Lambda AI Cloud. Get high-performance GPU compute, pre-configured environments, and transparent pricing.

Hyperpod AI - Hyperpod: Transform your AI models into scalable APIs in minutes. Serverless deployment, intelligent auto-scaling, and no DevOps complexity.

Inferless - Lowest cold-starts to deploy any machine learning model in production stress-free. Scale from single user to billions and only pay when they use.

RunPod - Save over 80% on GPUs. GPU rental made easy with Jupyter for Tensorflow, PyTorch or any other AI framework.

Beam.cloud - Beam is a serverless platform for generative AI. Deploy inference endpoints, train models, run task queues. Fast cold starts, pay-per-second. Ideal for AI/ML workloads.