# PROXY.CC vs RunPod

PROXY.CC records 17,415 monthly visits with -40.2% month-over-month growth and Free pricing. RunPod records 2,881,043 monthly visits with +5.9% growth and Paid pricing.

| Metric | [PROXY.CC](https://openaitools.app/tool/proxycc) | [RunPod](https://openaitools.app/tool/runpod) |
| :--- | :--- | :--- |
| Website URL | https://proxy.cc/?keyword=z9mk0exv | https://runpod.io |
| Categories | AI Web Scraping, AI SEO Tools, AI Advertising | AI Developer Tools, AI Models, Large Language Models (LLMs), AI API |
| Pricing Model | Free | Paid |
| Monthly Visits | 17,415 | 2,881,043 |
| MoM Growth Rate | -40.2% | +5.9% |
| Primary Market | Brazil | United States |
| Direct Visits | 9,648 | 1,634,834 |
| Review Score | 4.2 | 4.7 |
| Saved Count | 0 | 4 |
| Supported Platforms | Website | Website |

## PROXY.CC

PROXY.CC sells access to a large IP pool marketed at 90M+ addresses spanning 190+ cities worldwide, with country, state and city-level targeting available. The lineup covers several distinct proxy types so teams can match the tool to the job: rotating residential proxies for scraping and crawling, static residential proxies with fixed IPs and unlimited traffic, unlimited residential plans, static datacenter proxies with high accuracy claims, and long-acting ISP proxies designed for longer uninterrupted sessions.

Operationally the platform emphasises flexible configuration. Users authenticate via username and password or IP whitelisting, can create sub-users, choose proxies from many countries, fine-tune sessions by ISP and protocol, and control rotation by time or request with auto-replacement. There are no limits on concurrent sessions or invocation frequency, and documentation covers API parameter configurations plus code samples for Python, Node.js, PHP, Go, Java, C#, Shell and Ruby.

Common use cases the provider highlights include market research, brand protection, ad verification, web scraping and crawling, SEO monitoring and social media marketing, with country and city-level geo-targeting and a stated 99.5% success rate. A proxy checker and free proxy list are offered as free tools, and the site supports many interface languages plus partner and affiliate programs.

**Pricing & Plans:** PROXY.CC prices each proxy type separately: rotating residential proxies from a per-GB rate, static residential and static datacenter proxies from a per-IP-per-day rate, unlimited residential plans from a per-day rate, and long-acting ISP proxies from a per-GB rate. Current rates and plan details are listed on the site's pricing page.

- **90M+ IP pool across 190+ locations:** A large residential and datacenter network with country, state, city and ASN-level targeting options.
- **Multiple proxy product lines:** Rotating residential, static residential, unlimited residential, static datacenter and long-acting ISP proxies to match different workload types.
- **Flexible authentication and control:** User/pass or IP whitelist authentication, sub-user creation, ISP and protocol filtering, plus rotation by time or request with auto-replace.
- **Developer-friendly API:** Documented API parameters with code samples for Python, Node.js, PHP, Go, Java, C#, Shell and Ruby.
- **Free utility tools:** A proxy checker and free proxy list are available alongside the paid network for quick testing.

**Strengths:** Very large IP pool with granular country, city and ASN targeting; Several proxy types so teams can match rotating, sticky or unlimited needs; No limits on concurrent sessions or invocation frequency; Documented API with samples in many common programming languages

**Limitations:** Proxy pricing is split across many product lines, so cost needs careful comparison; The site is a marketing-heavy service page with limited independent performance benchmarks; Effectiveness ultimately depends on your target sites' anti-bot measures

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

## RunPod

The platform is organised around three products. Pods give you a persistent GPU instance with your own container, framework and code, available as guaranteed Reserved capacity or lower-priced interruptible instances. Serverless turns a container into an autoscaling HTTP or queue-driven endpoint that spins workers up and down with demand. Clusters connect many GPUs across nodes for distributed training and large-scale inference, with shared storage attached. Around these sit a Model Hub of deployable templates and public endpoints for hosted image, audio and text models.

Operationally, RunPod leans on fast provisioning and scale-to-zero economics. A GPU pod can be running in under a minute, workloads spread across 31 regions, and Serverless endpoints expand from zero to hundreds of concurrent workers automatically without hand-written orchestration. Storage is persistent and priced in tiers, which suits pipelines that keep checkpoints and datasets around between runs.

RunPod is a popular choice for developers, research teams and AI startups because it removes the need to negotiate long-term contracts with hyperscale clouds while still offering enterprise features such as SOC 2 Type II compliance, 99.9% uptime targets and failover handling. It is best suited to teams who are comfortable working in containers and want direct control over GPU cost and configuration.

**Pricing & Plans:** Paid, pay-as-you-go. GPU Pods are billed per second or per hour by card type, Serverless endpoints bill for active compute only with zero idle cost, and Clusters charge per GPU per hour. Storage starts at around $0.05/GB per month. A free tier and enterprise reserved-capacity contracts are also available.

- **On-demand GPU Pods:** Rent GPU instances with on-demand, interruptible or reserved capacity across more than 30 GPU SKUs, from RTX 4090s up to B200 and B300 class accelerators, deployed in 31 global regions.
- **Autoscaling Serverless endpoints:** Deploy any container as an API endpoint that scales from zero to thousands of workers on demand and bills only for the compute you actually use.
- **Multi-node Clusters:** Launch multi-node GPU clusters for distributed training and large inference jobs, with shared storage attachable and no long-term commitment required.
- **Model Hub and public endpoints:** Deploy popular open-source models from a curated hub, or use public endpoints for image, audio and text models without managing infrastructure.
- **Persistent storage:** Persistent network storage with standard and high-performance tiers, container and volume disks, and no egress fees for full AI pipelines.

**Strengths:** Extremely broad GPU catalogue spanning consumer and datacentre cards; Per-second billing and scale-to-zero serverless endpoints keep idle costs near zero; Fast environment provisioning from templates or your own containers; Global region coverage with persistent storage and no egress fees

**Limitations:** GPU availability for high-end cards can vary by region and time of day; Serverless cold starts and autoscaling behaviour require some tuning to get right; Costs can climb quickly if workloads are left running on idle Pods; Learning curve for container and handler configuration is steeper than fully managed model APIs

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

## Frequently Asked Questions

### How do PROXY.CC and RunPod compare in monthly traffic?

PROXY.CC has 17,415 monthly visits, while RunPod has 2,881,043. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

PROXY.CC has a month-over-month growth rate of -40.2%; RunPod has +5.9%.

### How does pricing compare?

PROXY.CC: Free. PROXY.CC prices each proxy type separately: rotating residential proxies from a per-GB rate, static residential and static datacenter proxies from a per-IP-per-day rate, unlimited residential plans from a per-day rate, and long-acting ISP proxies from a per-GB rate. Current rates and plan details are listed on the site's pricing page. RunPod: Paid. Paid, pay-as-you-go. GPU Pods are billed per second or per hour by card type, Serverless endpoints bill for active compute only with zero idle cost, and Clusters charge per GPU per hour. Storage starts at around $0.05/GB per month. A free tier and enterprise reserved-capacity contracts are also available.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Provides a unified API gateway across hundreds of models, but entirely abstracts away underlying GPU infrastructure management. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 2 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Specializes in lightning-fast serverless execution for generative media models, but lacks general-purpose GPU pod rental options. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 3 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Delivers managed serverless model inference and GPU clusters, trading raw bare-metal pod customization for streamlined API access. | [.md](https://openaitools.app/tool/together-ai.md) |
| 4 | [Vast.ai](https://openaitools.app/tool/vast-ai) | 1,257,554 | +2.8% | Paid | Offers a peer-to-peer GPU rental marketplace with often lower prices, but with more variable hardware reliability than RunPod. | [.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 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Provides serverless Python execution and instant container scaling, but lacks direct persistent SSH pod control like RunPod. | [.md](https://openaitools.app/tool/modal-com.md) |
| 7 | [Nebius](https://openaitools.app/tool/nebius) | 1,145,711 | +10.7% | Paid, Contact for Pricing | Offers high-performance enterprise NVIDIA GPU clusters, but focuses more on dedicated bare-metal infrastructure than flexible spot pods. | [.md](https://openaitools.app/tool/nebius.md) |
| 8 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Offers a polished API and cloud platform for running open models, but provides less direct infrastructure-level control than RunPod. | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 9 | [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) |
| 10 | [Salad](https://openaitools.app/tool/salad-gpu-cloud) | 713,519 | +10.4% | Free Trial, Paid, Contact for Pricing | Utilizes distributed consumer hardware to drastically lower inference costs, but cannot match enterprise GPU availability or SLA guarantees. | [.md](https://openaitools.app/tool/salad-gpu-cloud.md) |

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Source: https://openaitools.app/compare/proxycc-vs-runpod

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