# Miro vs Modal

Miro records 30,749,206 monthly visits with +1.7% month-over-month growth and Freemium, Contact for Pricing pricing. Modal records 1,196,021 monthly visits with +30.2% growth and Freemium, Contact for Pricing pricing.

| Metric | [Miro](https://openaitools.app/tool/miro) | [Modal](https://openaitools.app/tool/modal-com) |
| :--- | :--- | :--- |
| Website URL | https://miro.com | https://modal.com |
| Categories | AI Project Management, AI Workflow, Whiteboard AI, AI Diagram Generator | AI Developer Tools, AI API, Large Language Models (LLMs), AI Models |
| Pricing Model | Freemium, Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 30,749,206 | 1,196,021 |
| MoM Growth Rate | +1.7% | +30.2% |
| Primary Market | United States | United States |
| Direct Visits | 20,179,618 | 845,636 |
| Review Score | 4.5 | 4.8 |
| Saved Count | 40 | 3 |
| Supported Platforms | Website | Website |

## Miro

Miro is a visual collaboration platform built around an infinite, multiplayer canvas. Teams use it to run brainstorming sessions, design sprints, workshops, and retrospectives, sketching ideas as sticky notes, shapes, and freeform drawings that everyone can see and edit at the same time. What began as a digital whiteboard has expanded into an "innovation workspace" where the messy early thinking and the structured plan that follows live in one place.

Structured formats are a large part of that expansion. Miro boards can hold Docs, Tables, Slides, Kanban boards, and Timelines, so a research synthesis can flow straight into a roadmap without switching tools. Thousands of templates and prebuilt playbooks cover common ceremonies, from customer journey mapping to technical architecture diagrams. Deep integrations with Jira, Asana, Linear, ClickUp, Slack, and Microsoft let the canvas stay connected to where work actually gets executed.

AI now runs through the product. Miro can generate diagrams, tables, and summaries from board content, clean up images, and connect external assistants such as Claude, Cursor, or Copilot through an MCP server. Paid plans meter these features with AI credits, and enterprise tiers add SSO, governance controls, and advanced security. Pricing starts with a free tier for small teams and scales through per-member plans to custom enterprise agreements.

**Pricing & Plans:** Freemium with three paid paths. Free covers small teams with 3 editable boards, templates, and core formats. Starter runs about $8 per member/month billed yearly with unlimited private boards and 25 AI credits per member. Business is about $20 per member/month billed yearly with workspaces, prototyping, and AI workflows. Enterprise is quoted on request with SSO, governance, and dedicated support.

- **Infinite collaborative canvas:** An infinite multiplayer board where cursors, comments, and live editing let remote and hybrid teams work in the same space simultaneously.
- **Structured formats on the canvas:** Docs, Tables, Slides, Kanban, and Timelines live alongside freeform drawing so a workshop can turn directly into a structured plan.
- **AI diagramming and synthesis:** Generate diagrams, tables, and summaries, remove image backgrounds, and connect external AI assistants through the MCP server.
- **Templates and playbooks:** 6,000-7,000+ templates for brainstorming, workshops, roadmapping, and process mapping give teams a running start.
- **Integrations and two-way sync:** Connect 250+ tools such as Jira, Asana, Linear, Slack, and Microsoft, with two-way sync available for planning workflows.

**Strengths:** Best-in-class infinite canvas that scales from a quick brainstorm to large workshops; Structured Docs, Tables, Slides, and Kanban reduce tool switching; Huge integration and template ecosystem including two-way Jira and Linear sync; Strong enterprise security, SSO, and admin controls for large organizations

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

Miro has 30,749,206 monthly visits, while Modal has 1,196,021. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Miro has a month-over-month growth rate of +1.7%; Modal has +30.2%.

### How does pricing compare?

Miro: Freemium, Contact for Pricing. Freemium with three paid paths. Free covers small teams with 3 editable boards, templates, and core formats. Starter runs about $8 per member/month billed yearly with unlimited private boards and 25 AI credits per member. Business is about $20 per member/month billed yearly with workspaces, prototyping, and AI workflows. Enterprise is quoted on request with SSO, governance, and dedicated support. 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 | [Whimsical](https://openaitools.app/tool/whimsical) | 966,895 | -18.7% | Freemium | Stronger focus on structured mind mapping and flowcharting, but lacks Miro's massive template library and enterprise workshop features. | [.md](https://openaitools.app/tool/whimsical.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 | [Eraser](https://openaitools.app/tool/eraser) | 534,396 | -23.6% | Freemium, Paid, Contact for Pricing | Excels at generating technical architecture diagrams directly from code, but less suited for freeform creative brainstorming. | [.md](https://openaitools.app/tool/eraser.md) |
| 9 | [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) |
| 10 | [Boardmix](https://openaitools.app/tool/boardmix-online-whiteboard) | 447,560 | -6.2% | Freemium | Similar collaborative online whiteboard experience with strong AI diagramming, but offers fewer complex enterprise integration options. | [.md](https://openaitools.app/tool/boardmix-online-whiteboard.md) |

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