Loops vs Modal Comparison
Detailed comparison of features, pricing, and capabilities
Last updated May 1, 2026
Overview
Compare key metrics and features at a glance
Loops
https://loops.so
Loops is an email marketing platform designed specifically for software companies and startups. It provides a complete solution for sending automated emails, newsletters, and transactional messages with features like visual email builder, advanced segmentation, and analytics. The platform specializes in helping companies create personalized email experiences while maintaining high deliverability rates.
Modal
https://modal.com
Modal is a cloud infrastructure platform that allows developers and data scientists to run code in the cloud without managing servers or infrastructure. It provides a Python-native interface for running serverless functions, training machine learning models, and deploying AI applications with on-demand GPU and CPU compute. Modal handles scaling, containerization, and dependency management automatically, enabling teams to go from local code to production cloud workloads with minimal configuration.
Quick Comparison
| Detail | Loops | Modal |
|---|---|---|
| Category | Email Marketing | AI Cloud Infrastructure |
| Starting Price | Free | Free |
| Plans Available | 1 | 3 |
| Features Tracked | 17 | 20 |
| Founded | 2021 | 2021 |
| Headquarters | San Francisco, USA | New York, USA |
Features
Detailed feature-by-feature comparison
Feature Comparison
| Feature | | |
|---|---|---|
| api | ||
| REST API | ||
| compliance | ||
| Preference Center | ||
| core | ||
| Audience Segmentation | ||
| Automatic Dependency Management | ||
| Batch Job Processing | ||
| Campaigns | ||
| Contact Properties | ||
| Cron Jobs | ||
| Custom Container Runtime | ||
| Email Analytics | ||
| Event-based Triggers | ||
| GPU-Backed Notebooks | ||
| High-Throughput Storage System | ||
| Loops (Automations) | ||
| Managed Deliverability | ||
| Mobile-friendly Editor | ||
| Model Training and Fine-tuning | ||
| Multi-Cloud GPU Pool | ||
| Notion-style Email Editor | ||
| Personalization Variables | ||
| Python-Native Code Definition | ||
| Reusable Styles & Components | ||
| Scale to Zero Pricing | ||
| Serverless GPU Inference | ||
| Transactional Emails | ||
| Web Endpoints | ||
| custom | ||
| Dark Mode | ||
| integration | ||
| Cloud Bucket Integration | ||
| External Database Connectivity | ||
| Key-Value Dictionaries | ||
| Networking Tools | ||
| Persistent Volumes | ||
| Stripe Integration | ||
| Task Queues | ||
| Zapier Integration | ||
| security | ||
| Sandboxes for Untrusted Code | ||
| support | ||
| Integrated Logging and Monitoring | ||
Pricing
Compare pricing plans and value for money
Loops
From $0/mo
Price Components
- base_fee: $0/month
- contacts: $0/contact (1000 included)
Best For
Early-stage SaaS companies and startups needing unified marketing and transactional email without platform complexity.
Modal
From $0/mo
Price Components
- base_fee: $0/month (30 included)
- seats: $0/user (3 included)
- CPU: $0.0000131/core-second
- Memory: $0.00000222/GiB-second
- Nvidia B200: $0.001736/second
Best For
Python-focused ML teams and startups needing rapid GPU-accelerated model training and inference without managing Kubernetes, containers, or infrastructure scaling.
Integrations
See which third-party services are supported
Supported Integrations
Coming Soon
Integration comparison data for Loops, Modal is being collected and will be available soon.
Strengths & Limitations
Key strengths and limitations of each service
Loops
Early-stage SaaS companies and startups needing unified marketing and transactional email without platform complexity.
- Transactional emails built-in with no separate service needed, unlike Mailchimp's Mandrill add-on
- Modern Notion-style editor with clean interface designed specifically for SaaS workflows
- Simple subscriber-based pricing with unlimited sends across all tiers, no feature gates
- Lacks deeper automation logic and advanced reporting tools compared to enterprise platforms
- Smaller market presence with 11-50 employees versus MailChimp's 283,090 detected installations
Modal
Python-focused ML teams and startups needing rapid GPU-accelerated model training and inference without managing Kubernetes, containers, or infrastructure scaling.
- Python-native serverless platform eliminates manual containerization and dependency management, reducing deployment friction for ML engineers and data scientists
- On-demand access to high-performance GPUs (A100, H100) with per-second billing removes upfront infrastructure costs and commitment lock-in common with traditional cloud providers
- Automatic horizontal scaling to thousands of parallel containers with zero-to-scale capability enables cost-efficient handling of bursty AI workloads without manual orchestration
- Limited to Python ecosystem, excluding teams using Go, Node.js, or other languages that dominate in serverless and edge computing markets
- Series B funding and 11-50 employee count signal smaller scale and fewer enterprise resources compared to hyperscalers (AWS, Google Cloud, Azure) controlling 65% of AIaaS market revenue
Company Info
Company details and background
Loops
Modal
Comparison FAQ
Common questions about comparing Loops and Modal
No FAQs available yet