# LLMArena vs Models.dev

LLMArena records 0 monthly visits with 0% month-over-month growth and Free pricing. Models.dev records 200,451 monthly visits with -3.9% growth and Free pricing.

| Metric | [LLMArena](https://openaitools.app/tool/llmarena) | [Models.dev](https://openaitools.app/tool/models-dev) |
| :--- | :--- | :--- |
| Website URL | https://llmarena.ai | https://models.dev |
| Categories | AI Models, AI Tools Directory, Large Language Models (LLMs) | AI Models, AI API, Open Source AI Models, AI Tools Directory |
| Pricing Model | Free | Free |
| Monthly Visits | 0 | 200,451 |
| MoM Growth Rate | 0% | -3.9% |
| Primary Market | Global | China |
| Direct Visits | 0 | 136,316 |
| Review Score | 4.7 | 4.4 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## LLMArena

Where many comparison sites rely on static benchmark tables, an arena produces rankings from live head-to-head votes. A user submits a prompt, receives answers from competing models without knowing which is which, and picks a winner. Aggregated over many users, those choices feed the public leaderboard, giving a preference-based view of model quality that changes as new models are released.

Beyond the ranking data, the platform doubles as a working chat interface. The home page offers starting points such as creating a landing page, building a dashboard, making a playable browser game, turning a design into code, or generating a full-stack app, and it invites visitors to sign up free for broader access to the models on offer.

One practical note for anyone using the site in an automated workflow: the domain sits behind a Cloudflare challenge, so scripted or bot access is frequently interrupted and the interactive experience is aimed at human visitors in a normal browser.

**Pricing & Plans:** Free to use. The site invites visitors to sign up for free to access the models and features; no paid subscription tiers are presented on the landing page.

- **Side-by-side model battles:** Send the same prompt to different models and compare their answers directly, so differences in style and quality are easy to see.
- **Community-voted leaderboard:** A public ranking board aggregates model performance so you can follow how frontier models move over time.
- **Unified chat across top models:** Chat with leading models for coding, writing, data and design work from one account instead of juggling separate subscriptions.
- **Ready-made task templates:** Start from prompts for building landing pages, dashboards, browser games, full-stack apps or design-to-code conversions.
- **Free account access:** Create a free account to unlock broader access to models and keep your history in one place.

**Strengths:** No cost to compare or chat with top models; Preference-based leaderboard stays current as new models launch; Blind head-to-head voting reduces brand bias in comparisons; Combines ranking data and hands-on chat in a single interface

**Limitations:** The site sits behind a Cloudflare challenge, so automated access from scripts or bots can be blocked; Public leaderboard data reflects aggregate, crowdsourced votes and should not be read as an absolute capability ranking; As a community-driven arena it is not a substitute for your own task-specific evaluation; Some advanced usage, such as large numbers of side-by-side comparisons, requires creating an account

[Profile (Markdown)](https://openaitools.app/tool/llmarena.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 LLMArena and Models.dev compare in monthly traffic?

LLMArena has 0 monthly visits, while Models.dev has 200,451. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

LLMArena has a month-over-month growth rate of 0%; Models.dev has -3.9%.

### How does pricing compare?

LLMArena: Free. Free to use. The site invites visitors to sign up for free to access the models and features; no paid subscription tiers are presented on the landing page. 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 | Battle-test AI coding models side by side | [.md](https://openaitools.app/tool/code-arena.md) |
| 2 | [Design Arena](https://openaitools.app/tool/design-arena) | 949,534 | -13.2% | Free | Crowdsourced arena where AI models compete and humans crown the best design output | [.md](https://openaitools.app/tool/design-arena.md) |
| 3 | [SkillsMP — Agent Skills Marketplace](https://openaitools.app/tool/agent-skills-marketplace) | 470,744 | -3.7% | Free | Search and study millions of public SKILL.md agent skills | [.md](https://openaitools.app/tool/agent-skills-marketplace.md) |
| 4 | [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) |
| 5 | [Coarena by Coasty](https://openaitools.app/tool/coarena-by-coasty) | 59,004 | -33.5% | Free | Benchmark computer- and phone-use AI agents with blind head-to-head battles | [.md](https://openaitools.app/tool/coarena-by-coasty.md) |
| 6 | [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) |
| 7 | [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) |
| 8 | [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) |
| 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 | Vote for the best AI each month and follow the live leaderboard | [.md](https://openaitools.app/tool/thisorthis-ai.md) |

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

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