# Models.dev vs Outlier AI

Models.dev records 200,451 monthly visits with -3.9% month-over-month growth and Free pricing. Outlier AI records 10,372,036 monthly visits with +7.6% growth and Paid pricing.

| Metric | [Models.dev](https://openaitools.app/tool/models-dev) | [Outlier AI](https://openaitools.app/tool/outlier-ai) |
| :--- | :--- | :--- |
| Website URL | https://models.dev | https://outlier.ai |
| Categories | AI Models, AI API, Open Source AI Models, AI Tools Directory | AI Jobs, Large Language Models (LLMs), AI Developer Tools |
| Pricing Model | Free | Paid |
| Monthly Visits | 200,451 | 10,372,036 |
| MoM Growth Rate | -3.9% | +7.6% |
| Primary Market | China | United States |
| Direct Visits | 136,316 | 5,819,236 |
| Review Score | 4.4 | 3.8 |
| Saved Count | 0 | 3 |
| Supported Platforms | Website | Website |

## 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)

## Outlier AI

Outlier AI is a work platform built around the idea that human expertise is still the fastest way to make AI models better. Professionals in fields such as software engineering, mathematics, physics, medicine and dozens of languages sign up, verify their skills, and are matched with projects where they write difficult prompts, build answer rubrics and grade model outputs. Because the work is project-based and fully remote, contributors set their own hours with no minimum commitment.

The platform reports more than 900,000 experts onboarded and over $500 million paid out to contributors across 50 countries, with a large share of participants being graduate students and PhDs. Typical accounts describe a 30 to 90 minute onboarding flow covering account creation, expertise selection, skill screening and identity verification, after which project-specific training begins.

Outlier is part of the Scale AI family of data-labeling businesses, so the projects generally feed into real model-development pipelines rather than academic exercises. Pay is competitive and quality-based, disbursed weekly, and contributors sometimes get free access to paid frontier models as part of their work. Because project availability fluctuates, income is best treated as flexible supplementary earnings rather than a guaranteed full-time salary.

**Pricing & Plans:** Free for experts to join. Outlier pays contributors for completed work rather than charging them; rates vary by project, expertise area and locale, with quality-based bonuses and weekly payouts.

- **Expert-matched project work:** After skill screening, contributors are matched to projects that fit their domain, from coding and math to linguistics and medicine.
- **Genuinely flexible schedule:** No minimum hours and fully remote work, so experts can fit tasks around study, research or a primary job.
- **Varied AI-training tasks:** Typical work includes writing hard prompts, producing grading rubrics, ranking competing answers and reviewing model reasoning.
- **Weekly, quality-based pay:** Contributors are paid for approved work each week, with rewards that scale with the quality of their output.
- **Skills that transfer:** Contributors build hands-on prompt-engineering and evaluation experience that carries into AI and data roles.

**Strengths:** Remote, project-based work with no minimum hours; Open to strong generalists as well as advanced degree holders; Weekly payouts with quality-based rewards; Builds practical prompt-engineering and evaluation experience

**Limitations:** Project availability and hours can be inconsistent; Onboarding, skill screening and identity checks take time; Rates and project access vary significantly by region and specialty

[Profile (Markdown)](https://openaitools.app/tool/outlier-ai.md)

## Frequently Asked Questions

### How do Models.dev and Outlier AI compare in monthly traffic?

Models.dev has 200,451 monthly visits, while Outlier AI has 10,372,036. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Models.dev has a month-over-month growth rate of -3.9%; Outlier AI has +7.6%.

### How does pricing compare?

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. Outlier AI: Paid. Free for experts to join. Outlier pays contributors for completed work rather than charging them; rates vary by project, expertise area and locale, with quality-based bonuses and weekly payouts.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Mercor](https://openaitools.app/tool/mercor-com) | 14,164,192 | +34% | Contact for Pricing | Matches vetted domain experts with remote AI training and engineering roles using AI-driven vetting. | [.md](https://openaitools.app/tool/mercor-com.md) |
| 2 | [clickworker](https://openaitools.app/tool/clickworker-com) | 1,861,149 | +0.5% | Contact for Pricing | Offers crowdsourced data collection and annotation services, operating on a broader task-based crowdsourcing model. | [.md](https://openaitools.app/tool/clickworker-com.md) |
| 3 | [OpenTrain AI](https://openaitools.app/tool/opentrain-ai) | 1,469,348 | +11.2% | Contact for Pricing | Connects AI research labs with human subject matter experts for specialized evaluation and data annotation tasks. | [.md](https://openaitools.app/tool/opentrain-ai.md) |
| 4 | [Appen](https://openaitools.app/tool/appen-com) | 665,840 | +0.2% | Contact for Pricing | Established enterprise data annotation provider offering large-scale human validation and alignment services for AI models. | [.md](https://openaitools.app/tool/appen-com.md) |
| 5 | [LabLab.ai](https://openaitools.app/tool/lablab-ai) | 431,529 | -39.7% | Free | Hosts AI hackathons and community building events rather than freelance data annotation work. | [.md](https://openaitools.app/tool/lablab-ai.md) |
| 6 | [Surge AI](https://openaitools.app/tool/surgehq-ai) | 245,142 | +6.6% | Contact for Pricing | Provides enterprise-grade human data and RLHF evaluation, connecting expert annotators with leading AI labs. | [.md](https://openaitools.app/tool/surgehq-ai.md) |
| 7 | [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) |
| 8 | [Open Data Science (ODS.ai)](https://openaitools.app/tool/ods-ai) | 159,630 | +15.9% | Free | Large open community hub for data science and machine learning practitioners to collaborate and network. | [.md](https://openaitools.app/tool/ods-ai.md) |
| 9 | [deepsense.ai](https://openaitools.app/tool/deepsense-ai) | 57,084 | -4.3% | Contact for Pricing | Provides custom enterprise AI consulting and development services rather than crowd-sourced annotation tasks. | [.md](https://openaitools.app/tool/deepsense-ai.md) |
| 10 | [huntr](https://openaitools.app/tool/huntr-com) | 45,283 | -61.9% | Free | Focuses on security challenges and bug bounties for AI models and libraries instead of general data labeling. | [.md](https://openaitools.app/tool/huntr-com.md) |

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

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