# LokiProxy vs RunPod LokiProxy records 94,819 monthly visits with +40.3% month-over-month growth and Free Trial, Paid, Contact for Pricing pricing. RunPod records 2,881,043 monthly visits with +5.9% growth and Paid pricing. | Metric | [LokiProxy](https://openaitools.app/tool/lokiproxy) | [RunPod](https://openaitools.app/tool/runpod) | | :--- | :--- | :--- | | Website URL | https://lokiproxy.com | https://runpod.io | | Categories | Other | AI Developer Tools, AI Models, Large Language Models (LLMs), AI API | | Pricing Model | Free Trial, Paid, Contact for Pricing | Paid | | Monthly Visits | 94,819 | 2,881,043 | | MoM Growth Rate | +40.3% | +5.9% | | Primary Market | Vietnam | United States | | Direct Visits | 61,839 | 1,634,834 | | Review Score | 4.3 | 4.7 | | Saved Count | 0 | 4 | | Supported Platforms | Website | Website | ## LokiProxy LokiProxy positions itself as an ethical proxy provider with a pool advertised at 35 million+ residential IPs across 190+ countries and regions. The catalogue is split by use pattern: rotating residential for high-volume scraping, high-purity residential for scenarios that need cleaner IP reputation, unlimited residential for bandwidth-heavy jobs with no traffic cap, static residential for long-lived dedicated addresses (up to 90-day leases), short-term IPs billed per address with credits that do not expire, mobile proxies on real 3G/4G/5G carriers, and IPv6 ranges for high-concurrency work. Operationally the platform is geared toward developers. There is a dashboard for creating proxy users, setting IP whitelists, tracking live traffic usage and adjusting limits, plus API access with sample code for C/C++, Go, Node.js, PHP, Java and Python. Targeting can be narrowed to country, state, city or ASN depending on product line, and sessions can be switched between rotating and sticky modes. Published marketing figures include a 35M+ pool, 99.9% success rate and sub-0.5s response time, while high-purity IPs are quoted at 99.8% purity. Pricing is usage-based and starts low: rotating residential from roughly $0.48/GB, mobile from about $0.91/GB, static residential from about $0.12 per IP per day, short-term IPs from about $0.02 per IP, and IPv6 from about $0.95 per IP. A 5GB free trial on rotating residential and a free short-term IP allowance are advertised, and larger or custom volumes are handled through sales. Typical buyers are scraping and data-collection teams, ad-verification and market-research agencies, e-commerce price monitors and social-media or travel-aggregation operations. **Pricing & Plans:** Usage-based pricing with a free entry allowance: rotating residential from about $0.48/GB, high-purity residential from about $0.9/GB, static residential from about $0.12 per IP per day, short-term IPs from about $0.02 per IP, mobile proxies from about $0.91/GB and IPv6 from about $0.95 per IP. A 5GB free trial and free short-term IP credits are advertised; high-volume and reseller arrangements are quoted individually. - **Multiple residential proxy types:** Rotating, high-purity, unlimited-bandwidth, static ISP, short-term, mobile carrier and IPv6 products let you match the IP type to each workload instead of forcing one pool to do everything. - **35M+ IP pool with geo and ASN targeting:** Coverage across 190+ countries and regions with country, state, city and ASN selection, plus rotating or sticky session control. - **Developer-friendly integration:** HTTP(S) and SOCKS5 endpoints, username/password or IP-whitelist authentication, and API samples for C/C++, Go, Node.js, PHP, Java and Python. - **Real-time usage dashboard:** Create and manage proxy users, set whitelists, monitor traffic consumption live and adjust limits without support tickets. - **Free trial and pay-per-IP options:** 5GB free on rotating residential and non-expiring short-term IP credits let teams test before committing to volume. **Strengths:** Broad product line covering rotating, static, mobile and IPv6 needs from one vendor; Transparent entry pricing with a free trial allowance and non-expiring short-term IP credits; Developer-focused tooling: API samples, whitelisting, dashboard usage tracking; Published coverage and reliability claims (35M+ IPs, 190+ locations, 99.9% success rate) **Limitations:** Pricing scales with traffic or IP count, so heavy scraping budgets can grow quickly; Compliance and acceptable-use constraints mean some targets are off-limits regardless of plan; Quality can vary by country and ASN, so pooling and retry logic is still needed in production [Profile (Markdown)](https://openaitools.app/tool/lokiproxy.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 LokiProxy and RunPod compare in monthly traffic? LokiProxy has 94,819 monthly visits, while RunPod has 2,881,043. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? LokiProxy has a month-over-month growth rate of +40.3%; RunPod has +5.9%. ### How does pricing compare? LokiProxy: Free Trial, Paid, Contact for Pricing. Usage-based pricing with a free entry allowance: rotating residential from about $0.48/GB, high-purity residential from about $0.9/GB, static residential from about $0.12 per IP per day, short-term IPs from about $0.02 per IP, mobile proxies from about $0.91/GB and IPv6 from about $0.95 per IP. A 5GB free trial and free short-term IP credits are advertised; high-volume and reseller arrangements are quoted individually. 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 | [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) | | 6 | [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) | | 7 | [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) | | 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 | [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) | | 10 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Delivers exceptionally low-cost serverless model inference, but does not provide raw GPU container rentals for custom training workloads. | [.md](https://openaitools.app/tool/deep-infra.md) | --- Source: https://openaitools.app/compare/lokiproxy-vs-runpod More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)