# BestProxy vs Modal

BestProxy records 32,234 monthly visits with -10.1% 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 | [BestProxy](https://openaitools.app/tool/bestproxy) | [Modal](https://openaitools.app/tool/modal-com) |
| :--- | :--- | :--- |
| Website URL | https://bestproxy.com/ | https://modal.com |
| Categories | AI Web Scraping, AI API, AI Developer Tools, AI For Data Analytics | AI Developer Tools, AI API, Large Language Models (LLMs), AI Models |
| Pricing Model | Paid | Freemium, Contact for Pricing |
| Monthly Visits | 32,234 | 1,196,021 |
| MoM Growth Rate | -10.1% | +30.2% |
| Primary Market | China | United States |
| Direct Visits | 16,808 | 845,636 |
| Review Score | 4.1 | 4.8 |
| Saved Count | 0 | 3 |
| Supported Platforms | Website | Website |

## BestProxy

BestProxy is a proxy network and web data platform built around large-scale access to public web content. Its catalogue splits into proxy products and scraper products. On the proxy side it offers rotating residential proxies, static residential proxies, an unlimited-bandwidth residential plan, static datacenter proxies and long-acting ISP proxies. On the scraper side it sells web scraper APIs covering 100+ domains, a multi-engine SERP API and a newer video downloader API for YouTube audio and video.

The service is explicitly aimed at AI and data workflows. Marketing material positions the residential pool as fuel for AI training, RAG retrieval pipelines and automation, with the pitch that clean, structured and compliant collection underpins model quality. Common use cases listed on the site include ad verification, brand protection, market research, price monitoring, social media account management, review monitoring and e-commerce data collection.

Operationally, BestProxy emphasises an all-in-one dashboard for creating proxy users, allocating bandwidth, whitelisting IPs and sharing access across teams, alongside real-time usage statistics. It advertises 80M+ real residential IPs, over 200 locations, 7,800+ high-speed servers, 99.99% network uptime claims and sub-0.5s response times. The company also promotes GDPR and CCPA-aligned privacy controls, 24/7 support and a reseller-friendly, API-integrable model. Pricing is quoted per product rather than published as a single rate card, so costs depend on bandwidth volume, IP type and location targeting.

**Pricing & Plans:** Paid, quote-based. Product pages show "starting at" prices for each proxy and scraper product, but exact rates depend on the plan, bandwidth volume and targeting. Web Scraper APIs and the SERP API are offered with a free trial, and enterprise or custom deals are available by contacting the team.

- **Rotating and static residential proxies:** Access an advertised pool of 80M+ real residential IPs across 200+ locations with rotating or sticky sessions, plus static residential IPs valid for up to a year.
- **Unlimited-bandwidth residential proxy:** A flat, predictable-cost plan with unlimited traffic, IP whitelisting and multi-account support for high-demand scraping and AI data collection.
- **Datacenter and ISP proxies:** High-speed, low-latency datacenter IPs for concurrency-heavy jobs and long-acting ISP proxies that blend datacenter speed with residential trust.
- **Scraper and SERP APIs:** Dedicated endpoints for 100+ target domains, multi-engine SERP results sourced from Google, Bing and others, and a video downloader API for YouTube data.
- **All-in-one management dashboard:** Create and manage proxy users, allocate bandwidth dynamically, whitelist IPs, collaborate with teams and track real-time usage analytics in one console.

**Strengths:** Broad product line covering residential, ISP and datacenter proxies plus ready-made scraper and SERP APIs; Very large advertised IP pool (80M+) with 200+ locations and granular city/state targeting; Unlimited-bandwidth residential option gives predictable traffic costs for heavy scraping; Developer-friendly with code samples in seven languages, a Public API, and compliance controls for GDPR/CCPA

**Limitations:** No transparent public price list; real costs require contacting sales or checking per-product pages; Proxy compliance and legal use depend on your own jurisdiction and target-site terms; Some headline figures are the vendor's own marketing claims and should be validated in a trial

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

BestProxy has 32,234 monthly visits, while Modal has 1,196,021. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

BestProxy has a month-over-month growth rate of -10.1%; Modal has +30.2%.

### How does pricing compare?

BestProxy: Paid. Paid, quote-based. Product pages show "starting at" prices for each proxy and scraper product, but exact rates depend on the plan, bandwidth volume and targeting. Web Scraper APIs and the SERP API are offered with a free trial, and enterprise or custom deals are available by contacting the team. 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/bestproxy-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)