# AProxy vs Modal

AProxy records 36,540 monthly visits with -41.4% month-over-month growth and Free Trial, Paid pricing. Modal records 1,196,021 monthly visits with +30.2% growth and Freemium, Contact for Pricing pricing.

| Metric | [AProxy](https://openaitools.app/tool/aproxy) | [Modal](https://openaitools.app/tool/modal-com) |
| :--- | :--- | :--- |
| Website URL | https://aproxy.com/?keyword=unw8l6dq | https://modal.com |
| Categories | AI Web Scraping, AI For Data Analytics, AI Developer Tools, AI API | AI Developer Tools, AI API, Large Language Models (LLMs), AI Models |
| Pricing Model | Free Trial, Paid | Freemium, Contact for Pricing |
| Monthly Visits | 36,540 | 1,196,021 |
| MoM Growth Rate | -41.4% | +30.2% |
| Primary Market | Brazil | United States |
| Direct Visits | 15,256 | 845,636 |
| Review Score | 4.1 | 4.8 |
| Saved Count | 0 | 3 |
| Supported Platforms | Website | Website |

## AProxy

AProxy sells access to a global proxy network and the tooling needed to use that network productively. The core offering is a pool of more than 70 million residential IPs spanning 195+ countries, with sub-second connection times and 99.9% availability claims. Around that pool the company layers several IP classes: rotating residential proxies for sensitive scraping targets, longer-session ISP proxies that blend datacenter speed with residential trust, static residential addresses that never rotate, and static datacenter IPs for high-throughput jobs that do not need residential reputation.

Beyond raw IPs, AProxy ships scraping-oriented APIs. The Web Scraper API exposes dedicated endpoints for 100+ domains, the Universal Scraper API simulates real user behavior to get past anti-bot defenses, the SERP API returns structured search results from Google and Bing in real time, and the Video Data API is designed for large-scale video metadata collection with cloud storage included. Documented target platforms include Google, Bing, YouTube, DuckDuckGo, Instagram, Facebook, Amazon, and Walmart.

The platform is positioned squarely at AI and data teams: the marketing landing copy talks about empowering LLMs and automation workflows with reliable web data, and the use-case list covers crawl proxies, market research, SEO rank tracking, price monitoring, ad verification, brand protection, and multi-account social media management. Management tools include a usage dashboard, flexible API endpoints for configuration and real-time IP rotation, 1000+ city-level geo-targeting, a proxy checker, and third-party integrations. Support is available via email with a 24-hour response target, and the company states ISO/IEC 27001:2017 certification for its processes.

**Pricing & Plans:** Usage-based pricing with a free trial. Public rate cards start around $0.50/GB for rotating residential traffic, roughly $0.27/GB for long-acting ISP proxies, and per-IP pricing for static residential and static datacenter addresses. Unlimited residential plans are quoted from about $67.87/day, and scraping APIs are metered per 1,000 results. Custom enterprise and affiliate programs are also offered.

- **70M+ IP pool across 195+ countries:** Rotating residential, ISP, static residential, and static datacenter IPs with city-level targeting in 1000+ locations and sub-second connection times.
- **Purpose-built scraping APIs:** Web Scraper API with 100+ dedicated domain endpoints, a Universal Scraper API that mimics real users to defeat anti-bot systems, a real-time SERP API, and a Video Data API with integrated cloud storage.
- **Flexible rotation and session control:** API endpoints let you configure proxy settings and rotate IPs in real time, while ISP proxies support sessions of up to 12 hours for jobs that need a stable identity.
- **Management dashboard and tooling:** Usage tracking, subaccounts and whitelists, a country code lookup, and a proxy checker for validating connectivity before you deploy.
- **Compliance and security posture:** Compliant-source IP sourcing and ISO/IEC 27001:2017 certification, with documented support channels for enterprise procurement.

**Strengths:** Broad IP type coverage (rotating, ISP, static residential, datacenter) from a single vendor; Ready-made scraping and SERP APIs remove the need to build anti-bot handling yourself; Large, well-documented geo-targeting footprint with city-level selection; Transparent public rate cards and a free trial for testing before committing

**Limitations:** Pricing is metered by bandwidth or result count, so heavy workloads scale costs quickly; Unlimited residential plans are priced per day, which is expensive for occasional users; No fully free tier beyond trial credits, which limits casual evaluation

[Profile (Markdown)](https://openaitools.app/tool/aproxy.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 AProxy and Modal compare in monthly traffic?

AProxy has 36,540 monthly visits, while Modal has 1,196,021. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AProxy has a month-over-month growth rate of -41.4%; Modal has +30.2%.

### How does pricing compare?

AProxy: Free Trial, Paid. Usage-based pricing with a free trial. Public rate cards start around $0.50/GB for rotating residential traffic, roughly $0.27/GB for long-acting ISP proxies, and per-IP pricing for static residential and static datacenter addresses. Unlimited residential plans are quoted from about $67.87/day, and scraping APIs are metered per 1,000 results. Custom enterprise and affiliate programs are also offered. 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 | [Browserbase](https://openaitools.app/tool/browserbase) | 283,597 | -8% | Freemium | Cloud browsers and web APIs for AI agents | [.md](https://openaitools.app/tool/browserbase.md) |

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Source: https://openaitools.app/compare/aproxy-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)