# Design Arena vs Models.dev

Design Arena records 949,534 monthly visits with -13.2% month-over-month growth and Free pricing. Models.dev records 200,451 monthly visits with -3.9% growth and Free pricing.

| Metric | [Design Arena](https://openaitools.app/tool/design-arena) | [Models.dev](https://openaitools.app/tool/models-dev) |
| :--- | :--- | :--- |
| Website URL | https://www.designarena.ai | https://models.dev |
| Categories | AI Tools Directory, AI Models, AI Design Generator, AI Graphic Design | AI Models, AI API, Open Source AI Models, AI Tools Directory |
| Pricing Model | Free | Free |
| Monthly Visits | 949,534 | 200,451 |
| MoM Growth Rate | -13.2% | -3.9% |
| Primary Market | India | China |
| Direct Visits | 564,596 | 136,316 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Design Arena

Design Arena positions itself as the largest global crowdsourced benchmark for AI-generated design. Instead of trusting vendor benchmarks, it asks real users to judge real outputs: you enter a prompt, several top models respond, and you pick the strongest result. Those pairwise preferences are aggregated into public leaderboards that rank models across dozens of task categories.

The category coverage is broad. Leaderboards span website and frontend generation, image and image-editing, video and image-to-video, 3D and SVG asset generation, slides and spreadsheet/PDF tasks, code art, and text-to-speech. There are also engineering-focused boards such as agentic coding, Godot game development, React Native, and Android (Kotlin). Because the ranking signal comes from human taste rather than automated metrics, it captures qualities like layout sense, typography, and visual polish that benchmarks often miss.

Beyond the leaderboards, Design Arena doubles as a hands-on playground: you can ask the platform to build a website, generate an image or video, or explore how different models interpret the same brief. A methodology page documents the rating approach, and a blog and changelog track new models and category additions. Access is free and browser-based.

**Pricing & Plans:** Free. Design Arena is a free, crowdsourced benchmarking platform — you can run prompts, compare model outputs, and vote without paying. Check the site for any future account or usage limits.

- **Head-to-head model battles:** Enter a prompt and see how multiple leading models respond, then cast a vote for the best output — the core mechanism that keeps the benchmark crowdsourced and independent.
- **Multi-domain leaderboards:** Public rankings cover website and frontend builds, images and image editing, video and image-to-video, 3D, SVG, slides, spreadsheets, PDFs, code art, and text-to-speech.
- **Human-preference ratings:** Results are aggregated with Elo/Bradley-Terry-style rating systems, so rankings reflect collective human taste rather than lab-reported scores.
- **Engineering-focused boards:** Dedicated leaderboards for agentic coding, Godot game dev, React Native, Android (Kotlin), and full-stack builders help developers pick the right model for real work.
- **Methodology and model tracking:** A published methodology explains how ratings are computed, while the blog and changelog document newly added models and categories.

**Strengths:** Rankings come from real human votes, complementing automated benchmarks with design judgment; Very broad category coverage — from websites and code to images, video, 3D, slides, and speech; Doubles as a free playground where you can compare models on your own prompts; Open methodology, leaderboards, blog, and changelog make results and updates easy to inspect

**Limitations:** Crowdsourced voting reflects popular taste and can be noisy, so results may favor broadly appealing outputs over niche excellence; Rankings shift as new models are added and votes accumulate, so leaderboard positions are not permanent verdicts; Focus is on evaluation and comparison rather than being a full production design or build tool

[Profile (Markdown)](https://openaitools.app/tool/design-arena.md)

## Models.dev

Models.dev exists to answer a very practical developer question: which model should I use, and what will it cost? The site organises every entry under a canonical identifier in the form provider/model, so the same model served by several providers can be compared directly rather than guessed at. Columns cover context window, maximum output, whether input and output are supported, reasoning, tool calling, structured output, temperature control, open versus closed weights, price per million tokens, and release and update dates.

Because model releases move fast, the catalogue is built to stay current, with sortable and searchable tables that let you scan by lab or provider and filter down to what matters. Entries include both closed flagship models and open-weight alternatives, making it useful for cost planning as well as capability research.

The project is open source and free to use, and it is intended to be consumed programmatically. Developers can pull the catalogue into their own tooling through a JSON API or a type-safe SDK, which makes it a practical backend for dashboards, routing logic, or internal cost calculators rather than just a reference page to browse.

**Pricing & Plans:** Models.dev is free and open source. It is a reference database, so the prices it lists are the per-million-token rates charged by the model providers themselves, not a fee for using the site.

- **Canonical model identifiers:** Every model uses a consistent provider/model format so the same model across providers can be compared directly.
- **Specification comparison:** Side-by-side context window, output limit, reasoning, tool calling, structured output, and temperature support.
- **Pricing transparency:** Input and output prices per million tokens listed alongside release and update dates.
- **Open and closed models:** Covers closed flagship APIs and open-weight models from many labs in one sortable catalogue.
- **Developer access:** Consume the catalogue through a JSON API or a type-safe SDK for your own tools and dashboards.

**Strengths:** Free and open source with no account required; Consistent canonical identifiers make cross-provider comparison reliable; Covers pricing, limits, and capabilities in one sortable table; Available as a JSON API and type-safe SDK for programmatic use

**Limitations:** It is a reference catalogue, not an inference or hosting service; Data quality depends on community and maintainer updates keeping pace with releases; Interface is aimed at developers and offers little guidance for non-technical users

[Profile (Markdown)](https://openaitools.app/tool/models-dev.md)

## Frequently Asked Questions

### How do Design Arena and Models.dev compare in monthly traffic?

Design Arena has 949,534 monthly visits, while Models.dev has 200,451. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Design Arena has a month-over-month growth rate of -13.2%; Models.dev has -3.9%.

### How does pricing compare?

Design Arena: Free. Free. Design Arena is a free, crowdsourced benchmarking platform — you can run prompts, compare model outputs, and vote without paying. Check the site for any future account or usage limits. Models.dev: Free. Models.dev is free and open source. It is a reference database, so the prices it lists are the per-million-token rates charged by the model providers themselves, not a fee for using the site.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Code Arena](https://openaitools.app/tool/code-arena) | 35,827,928 | +19.4% | Free | Provides side-by-side benchmarking and community leaderboards, but specifically evaluates programming and code generation models. | [.md](https://openaitools.app/tool/code-arena.md) |
| 2 | [Stork](https://openaitools.app/tool/stork) | 201,544 | +2.3% | Free | Includes model pricing trackers and developer news alongside tools directories, but less focused on raw API specs. | [.md](https://openaitools.app/tool/stork.md) |
| 3 | [Midlibrary](https://openaitools.app/tool/midlibrary-io) | 118,712 | -13.4% | Freemium, Free | A library of Midjourney styles, SREF codes, prompts and guides | [.md](https://openaitools.app/tool/midlibrary-io.md) |
| 4 | [Coarena by Coasty](https://openaitools.app/tool/coarena-by-coasty) | 59,004 | -33.5% | Free | Offers public model benchmarking and performance leaderboards, but concentrates on computer-use and mobile agents rather than design. | [.md](https://openaitools.app/tool/coarena-by-coasty.md) |
| 5 | [InfraBase.ai](https://openaitools.app/tool/infrabase-ai) | 39,072 | -13.6% | Free | Catalogues and compares AI infrastructure tools and services across categories, but lacks deep per-token pricing tables. | [.md](https://openaitools.app/tool/infrabase-ai.md) |
| 6 | [Museum of Models (Rival)](https://openaitools.app/tool/rival) | 9,187 | -35% | Free | Archives how various AI models answer identical prompts over time, offering qualitative comparison rather than pricing. | [.md](https://openaitools.app/tool/rival.md) |
| 7 | [LLM Price Check](https://openaitools.app/tool/llm-price-check) | 8,255 | -34.7% | Free | Tracks per-token API prices across major AI providers in a simple comparison table, but omits broader model specs. | [.md](https://openaitools.app/tool/llm-price-check.md) |
| 8 | [Multi-Agent Arena](https://openaitools.app/tool/multi-agent-arena) | 5,242 | -78% | Free | Test how AI models cooperate, negotiate, and deceive in strategy games | [.md](https://openaitools.app/tool/multi-agent-arena.md) |
| 9 | [OpenGPT](https://openaitools.app/tool/opengpt-com) | 3,559 | -24.7% | Freemium | Helps compare foundation model performance and AI stacks, but functions more as a decision workspace than raw database. | [.md](https://openaitools.app/tool/opengpt-com.md) |
| 10 | [thisorthis.ai](https://openaitools.app/tool/thisorthis-ai) | 2,250 | -43.7% | Free | Builds community leaderboards through direct model polling, but covers general foundation models rather than design outputs. | [.md](https://openaitools.app/tool/thisorthis-ai.md) |

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Source: https://openaitools.app/compare/design-arena-vs-models-dev

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)