# forms.app vs Modal

forms.app records 987,157 monthly visits with -11.2% month-over-month growth and Freemium, Paid pricing. Modal records 1,196,021 monthly visits with +30.2% growth and Freemium, Contact for Pricing pricing.

| Metric | [forms.app](https://openaitools.app/tool/forms-app) | [Modal](https://openaitools.app/tool/modal-com) |
| :--- | :--- | :--- |
| Website URL | https://forms.app | https://modal.com |
| Categories | AI Forms, AI Quiz Generator, AI Quizzes | AI Developer Tools, AI API, Large Language Models (LLMs), AI Models |
| Pricing Model | Freemium, Paid | Freemium, Contact for Pricing |
| Monthly Visits | 987,157 | 1,196,021 |
| MoM Growth Rate | -11.2% | +30.2% |
| Primary Market | Brazil | United States |
| Direct Visits | 595,531 | 845,636 |
| Review Score | 4.2 | 4.8 |
| Saved Count | 3 | 3 |
| Supported Platforms | Website | Website |

## forms.app

forms.app is built around a simple promise: collect data without limits and without a learning curve. The editor is drag-and-drop, so anyone on a team can assemble an application form, booking form, registration page or customer satisfaction survey in minutes, pulling from a library of 5000+ pre-built templates that already include the fields you would otherwise forget.

Beyond plain forms, the platform handles surveys, quizzes, polls and tests, and it adds AI assistance at several points. You can describe the form you need and let the AI form generator build it, ask for alternative phrasings of a question so it reads more naturally, or auto-generate multiple-choice answer options. Once responses arrive, real-time submission tracking, smart filters and AI insights help you interpret the data rather than just export it.

The team and automation side matters just as much: unlimited responses, views and members on the free tier, plus 500+ integrations and webhooks that push submissions into Google Sheets, CRMs or internal tools. Security posture includes GDPR compliance, ISO/IEC 27001 certification, PCI DSS and OWASP alignment, which is why the company positions itself as a fit for European and regulated buyers.

**Pricing & Plans:** Freemium with a permanently free tier that includes unlimited responses, views and team members. Paid plans unlock advanced branding, file uploads, e-signatures, PDF generation and higher storage; an Enterprise tier is available on request. Check the pricing page for current figures.

- **Drag-and-drop form builder:** Assemble forms, surveys, quizzes and polls visually, then brand them with custom themes and your own domain.
- **AI form generation:** Describe what you need and the AI drafts the full form; it can also rephrase questions and generate multiple-choice answer options.
- **500+ integrations and webhooks:** Automate the path from submission to spreadsheet, CRM or internal system without manual copying.
- **5000+ ready-made templates:** Start from reviewed templates for applications, bookings, feedback, HR, events and interactive quizzes.
- **Response analytics and AI insights:** Track submissions in real time, filter results, analyse drop-off and get AI summaries of what your data says.

**Strengths:** Unlimited responses, views and team members on the free plan; AI assists at every stage: full form generation, question rewording, answer options and response insights; Very large template library and deep integration catalogue; Strong compliance set including GDPR and ISO/IEC 27001

**Limitations:** Some advanced features such as e-signatures and custom PDF generation sit behind paid plans; Very wide template library can take a moment to navigate; Best experience for complex branding requires a learning curve

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

forms.app has 987,157 monthly visits, while Modal has 1,196,021. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

forms.app has a month-over-month growth rate of -11.2%; Modal has +30.2%.

### How does pricing compare?

forms.app: Freemium, Paid. Freemium with a permanently free tier that includes unlimited responses, views and team members. Paid plans unlock advanced branding, file uploads, e-signatures, PDF generation and higher storage; an Enterprise tier is available on request. Check the pricing page for current figures. 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 | [Fillout](https://openaitools.app/tool/fillout-com) | 3,923,917 | -9.7% | Freemium | Offers advanced no-code form customization and robust database integrations, but with slightly less automated AI generation. | [.md](https://openaitools.app/tool/fillout-com.md) |
| 2 | [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) |
| 3 | [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) |
| 4 | [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) |
| 5 | [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) |
| 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 | [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 | [BlockSurvey](https://openaitools.app/tool/block-survey) | 302,480 | -14.9% | Freemium, Paid | Focuses heavily on end-to-end encryption and privacy, trading some ease of design for high-security data collection. | [.md](https://openaitools.app/tool/block-survey.md) |
| 10 | [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) |

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