Backblaze B2 vs Modal Comparison
Detailed comparison of features, pricing, and capabilities
Last updated May 1, 2026
Overview
Compare key metrics and features at a glance
Backblaze B2
https://www.backblaze.com/b2
Backblaze B2 is a cloud storage service that provides scalable object storage at 1/4th the cost of Amazon S3. The service offers robust APIs, CLI tools, and integrations with various applications, allowing developers and businesses to store and retrieve any amount of data. It features strong durability, native encryption, and lifecycle rules for data management.
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 | Backblaze B2 | Modal |
|---|---|---|
| Category | Cloud Storage | AI Cloud Infrastructure |
| Starting Price | Free | Free |
| Plans Available | 1 | 3 |
| Features Tracked | 1 | 20 |
| Founded | 2007 | 2021 |
| Headquarters | San Mateo, USA | New York, USA |
Features
Detailed feature-by-feature comparison
Feature Comparison
| Feature | | |
|---|---|---|
| api | ||
| S3-Compatible API | ||
| core | ||
| Automatic Dependency Management | ||
| Batch Job Processing | ||
| Cron Jobs | ||
| Custom Container Runtime | ||
| GPU-Backed Notebooks | ||
| High-Throughput Storage System | ||
| Model Training and Fine-tuning | ||
| Multi-Cloud GPU Pool | ||
| Python-Native Code Definition | ||
| Scale to Zero Pricing | ||
| Serverless GPU Inference | ||
| Web Endpoints | ||
| integration | ||
| Cloud Bucket Integration | ||
| External Database Connectivity | ||
| Key-Value Dictionaries | ||
| Networking Tools | ||
| Persistent Volumes | ||
| Task Queues | ||
| security | ||
| Sandboxes for Untrusted Code | ||
| support | ||
| Integrated Logging and Monitoring | ||
Pricing
Compare pricing plans and value for money
Backblaze B2
From $0/mo
Price Components
- storage: $0.006/GB
- download: $0.01/GB
Best For
Developers, businesses, and AI teams seeking affordable, S3-compatible object storage with high performance and low egress costs for scalable data needs.
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 Backblaze B2, Modal is being collected and will be available soon.
Strengths & Limitations
Key strengths and limitations of each service
Backblaze B2
Developers, businesses, and AI teams seeking affordable, S3-compatible object storage with high performance and low egress costs for scalable data needs.
- S3-compatible API enables seamless drop-in replacement for AWS S3 tools and code.
- Costs 1/5th of Amazon S3 with flat rates, free first 10GB, and generous free egress up to 3x storage.
- Supports Object Lock for ransomware protection and 10TB file uploads with no total capacity limit.
- B2 Overdrive delivers 1Tbps throughput for AI/ML/HPC at hyperscaler speeds without egress fees.
- Lacks advanced enterprise features like multi-region replication found in hyperscalers.
- Smaller company size may raise concerns about long-term scalability for massive enterprises.
- Limited feature set compared to full-suite platforms, focusing mainly on core storage.
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
Backblaze B2
Modal
Comparison FAQ
Common questions about comparing Backblaze B2 and Modal
No FAQs available yet