# IPPeak vs Modal

IPPeak records 25,571 monthly visits with +20.9% 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 | [IPPeak](https://openaitools.app/tool/ippeak) | [Modal](https://openaitools.app/tool/modal-com) |
| :--- | :--- | :--- |
| Website URL | https://www.ippeak.com | https://modal.com |
| Categories | Other | AI Developer Tools, AI API, Large Language Models (LLMs), AI Models |
| Pricing Model | Paid | Freemium, Contact for Pricing |
| Monthly Visits | 25,571 | 1,196,021 |
| MoM Growth Rate | +20.9% | +30.2% |
| Primary Market | China | United States |
| Direct Visits | 14,084 | 845,636 |
| Review Score | 4 | 4.8 |
| Saved Count | 0 | 3 |
| Supported Platforms | Website | Website |

## IPPeak

IPPeak supplies the network layer that data-heavy teams need: rotating residential IPs sourced from real residential connections, static ISP proxies with dedicated addresses, and an unlimited residential option that removes traffic metering entirely. The pool is advertised at more than 80 million IPs across 195+ countries, with geo and ASN targeting, unlimited concurrent sessions, a stated 99.95% connection success rate and sub-half-second average response times. Both HTTP and SOCKS5 are supported.

Pricing is structured around workload shape rather than a single flat fee. Smaller or budget-sensitive projects go on Core Residential at roughly $0.49 per GB of traffic. Teams that need consistent, high-quality exit IPs can move to the Premium Residential tier from about $0.60 per GB with geo/ASN targeting and 80M+ curated pool access. Static ISP proxies bill per IP per day from around $0.12 and include unlimited bandwidth in 30+ countries, while the Unlimited Residential plan from roughly $8 per hour lifts traffic and IP caps for high-volume operations. Pricing is quoted per unit and volume discounts typically apply at scale.

Setup is intentionally ordinary: create a subscription, configure an endpoint in the dashboard, receive proxy credentials (IP, port, authentication), then drop them into your scraping stack. Documentation spans C/C++, Go, Node.js, PHP, Java and Python. The company markets a no-logs policy, and the site frames its use cases around compliant access to publicly available data. Buyers should evaluate proxy vendors on pool diversity, success rates and legal compliance for their specific jurisdiction.

**Pricing & Plans:** Product-based pricing rather than a single subscription: Core Residential from about $0.49/GB, Premium Residential from about $0.60/GB with geo/ASN targeting, ISP proxies from about $0.12 per IP per day with unlimited bandwidth, and Unlimited Residential Proxies from about $8 per hour. Volume discounts apply; there is no free tier advertised.

- **80M+ residential IP pool:** Rotating residential addresses sourced from real residential networks across more than 195 countries, with geo and ASN targeting options.
- **Static ISP proxies:** Fully dedicated static residential IPs with unlimited bandwidth available in 30+ countries, billed per IP per day for long-term stable sessions.
- **Unlimited residential plan:** An hourly plan with no traffic or IP limits, aimed at heavy scraping workloads that would be expensive under per-GB billing.
- **Performance claims:** Unlimited concurrent sessions, a stated 99.95% connection success rate and average response times under 0.5 seconds.
- **Developer integrations:** HTTP and SOCKS5 endpoints with code samples for Python, Node.js, Go, Java, PHP and C/C++, plus a dashboard for endpoint configuration.

**Strengths:** Multiple proxy types in one provider, so a project can mix per-GB, per-IP and hourly billing; Very large advertised IP pool with 195+ country coverage and ASN targeting; Fast documented integration with samples for six common languages; Static ISP option includes unlimited bandwidth and dedicated addresses

**Limitations:** No free tier or trial minutes advertised, so evaluation requires a purchase; Per-GB pricing can become costly for very large continuous scraping jobs; Performance figures such as the 99.95% success rate come from the vendor and should be validated on your own targets

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

IPPeak has 25,571 monthly visits, while Modal has 1,196,021. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

IPPeak has a month-over-month growth rate of +20.9%; Modal has +30.2%.

### How does pricing compare?

IPPeak: Paid. Product-based pricing rather than a single subscription: Core Residential from about $0.49/GB, Premium Residential from about $0.60/GB with geo/ASN targeting, ISP proxies from about $0.12 per IP per day with unlimited bandwidth, and Unlimited Residential Proxies from about $8 per hour. Volume discounts apply; there is no free tier advertised. 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 | [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) |
| 6 | [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) |
| 7 | [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) |
| 8 | [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) |
| 9 | [Lightning AI](https://openaitools.app/tool/lightning-ai) | 272,562 | -12.3% | Freemium, Paid, Contact for Pricing | Provides integrated development studios and training workflows, but with less granular serverless function orchestration. | [.md](https://openaitools.app/tool/lightning-ai.md) |
| 10 | [Novita AI](https://openaitools.app/tool/novita-ai) | 271,371 | -10.4% | Paid | Combines ready-to-use model APIs and serverless GPU jobs, with simpler API consumption than custom Modal apps. | [.md](https://openaitools.app/tool/novita-ai.md) |

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