# B2Proxy vs RunPod

B2Proxy records 18,720 monthly visits with -33.8% month-over-month growth and Paid pricing. RunPod records 2,881,043 monthly visits with +5.9% growth and Paid pricing.

| Metric | [B2Proxy](https://openaitools.app/tool/b2proxy) | [RunPod](https://openaitools.app/tool/runpod) |
| :--- | :--- | :--- |
| Website URL | https://www.b2proxy.com | https://runpod.io |
| Categories | AI Web Scraping, AI SEO Tools, AI Social Media, AI For Data Analytics | AI Developer Tools, AI Models, Large Language Models (LLMs), AI API |
| Pricing Model | Paid | Paid |
| Monthly Visits | 18,720 | 2,881,043 |
| MoM Growth Rate | -33.8% | +5.9% |
| Primary Market | China | United States |
| Direct Visits | 9,776 | 1,634,834 |
| Review Score | 4.1 | 4.7 |
| Saved Count | 0 | 4 |
| 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)

## 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 B2Proxy and RunPod compare in monthly traffic?

B2Proxy has 18,720 monthly visits, while RunPod has 2,881,043. 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%; RunPod has +5.9%.

### 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. 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) |

---
Source: https://openaitools.app/compare/b2proxy-vs-runpod

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