# Fillout vs Modal

Fillout records 3,923,917 monthly visits with -9.7% month-over-month growth and Freemium pricing. Modal records 1,196,021 monthly visits with +30.2% growth and Freemium, Contact for Pricing pricing.

| Metric | [Fillout](https://openaitools.app/tool/fillout-com) | [Modal](https://openaitools.app/tool/modal-com) |
| :--- | :--- | :--- |
| Website URL | https://www.fillout.com | https://modal.com |
| Categories | AI Forms, AI Quiz Generator, AI Signature Generator, AI PDF | AI Developer Tools, AI API, Large Language Models (LLMs), AI Models |
| Pricing Model | Freemium | Freemium, Contact for Pricing |
| Monthly Visits | 3,923,917 | 1,196,021 |
| MoM Growth Rate | -9.7% | +30.2% |
| Primary Market | United States | United States |
| Direct Visits | 2,306,833 | 845,636 |
| Review Score | 4.4 | 4.8 |
| Saved Count | 12 | 3 |
| Supported Platforms | Website | Website |

## Fillout

Fillout is a no-code platform for building forms, surveys, quizzes, and payment or scheduling pages. You can start from a description and let the built-in Zite AI assemble a ready-to-publish form in your brand, or drag and drop fields manually. Every submission is stored in a structured database you can filter, analyze, and connect to other tools.

Beyond basic data collection, Fillout adds intelligent routing, login-based forms that let respondents edit their own answers, digital signatures, and native integrations with 50+ apps. Branding is fully controllable, including custom domains, white-labeling, and embeds as popups, sliders, or full-screen pages.

A large number of organizations use Fillout for secure data intake, and the service advertises SOC II Type 2 compliance plus AES-256 encryption. A free tier covers casual use, while paid plans unlock advanced logic, higher limits, and team features.

**Pricing & Plans:** Freemium. A free plan covers basic forms and submissions, with paid tiers for advanced logic, higher limits, file uploads, payments, and team collaboration.

- **AI form builder (Zite):** Describe the form you need in plain language and Zite generates a branded form with logic, file uploads, and payments.
- **Logic and workflows:** Add conditional logic, intelligent routing, and multi-step workflows to automate what happens after each response.
- **Editable and secure submissions:** Respondents can log in to update their answers, and forms can be restricted to internal users only.
- **Branding and embeds:** Use custom themes, fonts, logos, custom CSS, your own domain, and embed forms as popups, sliders, or full-screen pages.
- **50+ integrations and analytics:** Send responses to spreadsheets, CRMs, and other tools, then review and collaborate on results with flexible views.

**Strengths:** AI-assisted building makes first drafts fast; Deep logic, workflows, and 50+ integrations; Strong branding controls including white-label and custom domains; SOC II Type 2 compliance and AES-256 encryption

**Limitations:** Advanced features require paid plans; Feature depth can be overwhelming for simple one-off forms; Popular templates see heavy competition for the same look

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

Fillout has 3,923,917 monthly visits, while Modal has 1,196,021. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Fillout has a month-over-month growth rate of -9.7%; Modal has +30.2%.

### How does pricing compare?

Fillout: Freemium. Freemium. A free plan covers basic forms and submissions, with paid tiers for advanced logic, higher limits, file uploads, payments, and team collaboration. 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 | [forms.app](https://openaitools.app/tool/forms-app) | 987,157 | -11.2% | Freemium, Paid | Broader template library and multi-channel sharing features, but less flexible multi-page layout customization than Fillout. | [.md](https://openaitools.app/tool/forms-app.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 | Superior privacy-first encryption and secure data handling, but more restrictive workflow automation and styling capabilities. | [.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/fillout-com-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)