# B2Proxy vs Modal

B2Proxy records 18,720 monthly visits with -33.8% month-over-month growth and Paid pricing. Modal records 1,196,021 monthly visits with +30.2% growth and Freemium, Contact for Pricing pricing.

| Metric | [B2Proxy](https://openaitools.app/tool/b2proxy) | [Modal](https://openaitools.app/tool/modal-com) |
| :--- | :--- | :--- |
| Website URL | https://www.b2proxy.com | https://modal.com |
| Categories | AI Web Scraping, AI SEO Tools, AI Social Media, AI For Data Analytics | AI Developer Tools, AI API, Large Language Models (LLMs), AI Models |
| Pricing Model | Paid | Freemium, Contact for Pricing |
| Monthly Visits | 18,720 | 1,196,021 |
| MoM Growth Rate | -33.8% | +30.2% |
| Primary Market | China | United States |
| Direct Visits | 9,776 | 845,636 |
| Review Score | 4.1 | 4.8 |
| Saved Count | 0 | 3 |
| Supported Platforms | Website | Website |

## B2Proxy

B2Proxy sells access to a large residential IP network. The headline product is a dynamically rotating residential pool covering 80 million-plus IP addresses across more than 195 locations, billed by bandwidth from about $0.7 per GB. Two adjacent products serve longer-running jobs: an unlimited residential plan billed by time with no traffic or concurrency caps, and static residential IPs rented per IP per day at around $0.12, suited to accounts that need a stable, dedicated address.

The platform is built around a self-serve dashboard. After signing up you configure an endpoint, choose location and ASN targeting, and receive proxy credentials to drop into your scraper, browser automation stack or analytics scripts. Documentation, location guides and a referral program sit alongside the console, and support is offered through chat and help articles.

Positioning is squarely on data-intensive business use cases: public web scraping, search engine rank tracking, e-commerce price and review harvesting, social media management and travel fare aggregation. The vendor emphasises compliant use of publicly available data, a no-logs stance for customer activity, and connection reliability figures such as a 99.95% success rate. Buyers typically compare it on pool size, per-GB cost and stability for long-running automation rather than on consumer-facing features.

**Pricing & Plans:** Paid, usage-based. Rotating residential proxies start from about $0.7/GB with non-expiring traffic; unlimited residential plans are billed per hour; static residential proxies start from about $0.12 per IP per day. No permanent free tier is advertised.

- **80M+ rotating residential IPs:** A large, dynamically rotating pool of ethically sourced residential addresses spanning 195+ countries and regions.
- **Geo and ASN targeting:** Pin requests to specific countries, cities or autonomous system numbers so results reflect the market you are studying.
- **Unlimited residential plan:** A time-based subscription with no traffic ceiling and unrestricted concurrent connections for heavy, continuous scraping.
- **Static residential proxies:** Dedicated, long-term IPs with unlimited traffic, priced per IP per day and available in 30+ countries.
- **Self-serve dashboard and API:** Configure endpoints, manage credentials and rotate sessions programmatically, with guides and chat support on hand.

**Strengths:** Very large IP pool with broad geographic coverage; Transparent per-GB and per-IP pricing with non-expiring traffic; Both rotating and dedicated static IP options from one console; Straightforward dashboard with documented endpoint setup

**Limitations:** Self-serve orientation means less hand-holding for complex enterprise integrations; Quality and speed of individual IPs can vary by target site and region; Unlimited plan pricing is quoted dynamically rather than published up front

[Profile (Markdown)](https://openaitools.app/tool/b2proxy.md)

## Modal

Modal provides cloud infrastructure aimed squarely at AI and data teams. The core idea is that developers write ordinary Python, decorate functions or define container images, and Modal takes care of the underlying compute: scheduling containers, attaching GPUs, autoscaling from zero and back, and exposing endpoints over HTTPS. Infrastructure concerns like networking, storage, and capacity management are abstracted away, so a workload that runs on a laptop can run the same way across a fleet.

The platform is organised around a few primitives. Functions handle serverless compute and can fan out across thousands of GPUs for parallel or batch work. Sandboxes provide isolated environments for coding agents, reinforcement learning rollouts, and other untrusted code, with sub-second start times and support for very high concurrency. Training covers fine-tuning, reinforcement learning, and evaluation on single or multi-node GPU capacity. On the inference side, Modal offers OpenAI-compatible endpoints for open-weight models and lets teams deploy custom stacks and tune endpoints to match their traffic shape.

Underneath, Modal runs its own container runtime and image system designed for large images and fast GPU scheduling, along with a distributed filesystem for fast access to model weights and datasets. Capacity is drawn from a multi-cloud pool spanning many regions, with automatic routing to available hardware and continuous fleet health checks. Billing is usage-based, charged by the second while code runs, with granular cost controls. The company offers a free starting allowance and scalable paid usage, and markets to enterprises with SOC 2 Type II compliance and HIPAA readiness.

**Pricing & Plans:** Modal uses usage-based pricing billed by the second: a free monthly compute allowance gets you started, then you pay for the CPU, memory, and GPU resources your workloads consume. Enterprise plans and startup credits are available, and custom pricing can be discussed with sales.

- **Serverless Python functions:** Write plain Python, attach GPUs or containers, and deploy HTTPS endpoints that autoscale with traffic and scale to zero when idle.
- **Sandboxes for agents:** Launch isolated, secure environments for coding agents, RL rollouts, and untrusted code, with sub-second starts and support for over a million concurrent sandboxes.
- **Training and fine-tuning on demand:** Run fine-tunes, LoRA, full training, and reinforcement learning on elastic single or multi-node GPU capacity with no quota requests.
- **Model inference and endpoints:** Serve LLMs and image, video, or audio models through OpenAI-compatible endpoints, or bring your own inference stack and let Modal handle the infrastructure.
- **Fast storage and multi-cloud capacity:** A distributed filesystem loads large images and model weights at full bandwidth, while a pool spanning 20+ clouds routes workloads to the right hardware and region.

**Strengths:** Python-native developer experience with almost no infrastructure boilerplate; Scales from zero to thousands of GPUs with per-second, usage-based billing; Sandboxes are well suited to agentic and untrusted-code workloads; Multi-cloud capacity spans many regions with out-of-the-box observability and enterprise compliance

**Limitations:** Billed by real usage, so heavy GPU workloads can get expensive quickly without cost controls; Some advanced inference and enterprise features require working with the team rather than self-serve signup; The serverless model can feel less familiar to teams used to managing their own VMs or Kubernetes clusters

[Profile (Markdown)](https://openaitools.app/tool/modal-com.md)

## Frequently Asked Questions

### How do B2Proxy and Modal compare in monthly traffic?

B2Proxy has 18,720 monthly visits, while Modal has 1,196,021. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

B2Proxy has a month-over-month growth rate of -33.8%; Modal has +30.2%.

### How does pricing compare?

B2Proxy: Paid. Paid, usage-based. Rotating residential proxies start from about $0.7/GB with non-expiring traffic; unlimited residential plans are billed per hour; static residential proxies start from about $0.12 per IP per day. No permanent free tier is advertised. Modal: Freemium, Contact for Pricing. Modal uses usage-based pricing billed by the second: a free monthly compute allowance gets you started, then you pay for the CPU, memory, and GPU resources your workloads consume. Enterprise plans and startup credits are available, and custom pricing can be discussed with sales.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Extremely fast serverless execution optimized specifically for generative media models rather than general Python code. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 2 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | Provides flexible GPU infrastructure and serverless endpoints, though less focused on pure Python function decorators. | [.md](https://openaitools.app/tool/runpod.md) |
| 3 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Focuses heavily on managed open-source model inference APIs rather than arbitrary custom container execution. | [.md](https://openaitools.app/tool/together-ai.md) |
| 4 | [Vast.ai](https://openaitools.app/tool/vast-ai) | 1,257,554 | +2.8% | Paid | Rent cloud GPUs by the second from a global marketplace | [.md](https://openaitools.app/tool/vast-ai.md) |
| 5 | [Browser Use](https://openaitools.app/tool/browser-use) | 1,206,376 | +41.1% | Freemium, Paid, Contact for Pricing | Browser agents and stealth cloud browsers for real web tasks | [.md](https://openaitools.app/tool/browser-use.md) |
| 6 | [Nebius](https://openaitools.app/tool/nebius) | 1,145,711 | +10.7% | Paid, Contact for Pricing | Delivers robust enterprise GPU clusters and managed inference, requiring more infrastructure setup than Modal's serverless approach. | [.md](https://openaitools.app/tool/nebius.md) |
| 7 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Easier model packaging via Cog, but offers less arbitrary serverless Python container execution than Modal. | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 8 | [Bright Data](https://openaitools.app/tool/bright-data) | 802,752 | -5.9% | Free Trial, Paid | Web data infrastructure for scraping, proxies, and AI-ready datasets | [.md](https://openaitools.app/tool/bright-data.md) |
| 9 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Low-cost serverless inference APIs for 200+ open models | [.md](https://openaitools.app/tool/deep-infra.md) |
| 10 | [Lightning AI](https://openaitools.app/tool/lightning-ai) | 272,562 | -12.3% | Freemium, Paid, Contact for Pricing | Provides integrated development studios and training workflows, but with less granular serverless function orchestration. | [.md](https://openaitools.app/tool/lightning-ai.md) |

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Source: https://openaitools.app/compare/b2proxy-vs-modal-com

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)