# Models.dev vs OpenTrain AI

Models.dev records 200,451 monthly visits with -3.9% month-over-month growth and Free pricing. OpenTrain AI records 1,469,348 monthly visits with +11.2% growth and Contact for Pricing pricing.

| Metric | [Models.dev](https://openaitools.app/tool/models-dev) | [OpenTrain AI](https://openaitools.app/tool/opentrain-ai) |
| :--- | :--- | :--- |
| Website URL | https://models.dev | https://www.opentrain.ai |
| Categories | AI Models, AI API, Open Source AI Models, AI Tools Directory | AI Jobs, AI Recruiting, Large Language Models (LLMs) |
| Pricing Model | Free | Contact for Pricing |
| Monthly Visits | 200,451 | 1,469,348 |
| MoM Growth Rate | -3.9% | +11.2% |
| Primary Market | China | United States |
| Direct Visits | 136,316 | 607,067 |
| Review Score | 4.4 | 4.2 |
| Saved Count | 0 | 0 |
| 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)

## OpenTrain AI

OpenTrain AI positions itself as a talent network for AI training rather than a pure marketplace. Companies that need human feedback data, evaluations, or annotations post a job and receive a curated shortlist of candidates who have already been interviewed and tested. The platform leans on performance data pulled from more than 20 AI training platforms, so a mathematician or a clinician is ranked on demonstrated work history rather than a self-written profile.

A distinctive part of the offer is that deployment happens inside the tools buyers already use. Teams can add vetted experts to Label Studio, CVAT, Labelbox, Argilla, or their own internal annotation environment, which removes the usual migration step and keeps data ownership with the customer. OpenTrain handles offers, contracts, instructions, chat, and payments in the same workspace, and buyers set their own rates and pay talent directly through the platform.

For freelancers, the site works as a job aggregator and career profile: one account surfaces AI training and data labeling work from 20+ platforms and lets people build a track record. Coverage spans domains from medicine, law, and finance to creative writing and multilingual evaluation, with quality credentials such as Trustpilot reviews and published, transparent pricing for both self-serve and managed hiring.

**Pricing & Plans:** OpenTrain AI uses a marketplace-fee model rather than a subscription. The company lists self-service pricing at 10% of the amount paid to talent plus $9.95 for each new contract, and a managed-service fee of 20% when OpenTrain recruits, trains, and runs the team. Buyers set rates for freelancers, and larger enterprise engagements are quoted on request.

- **Global vetted talent network:** Post a project and receive a shortlist drawn from a network of more than 711,000 people across 240+ countries, available in 120+ languages.
- **Screening and skill testing:** Applicants pass automated interviews and domain skill assessments, and managed programs add live proctored testing, so candidates are matched on demonstrated ability rather than self-reported skills.
- **Works inside your existing tools:** Hire managers can add experts straight into Label Studio, CVAT, Labelbox, Argilla, or another tool they already run, avoiding data migration.
- **RLHF, evaluation, and red teaming:** Beyond standard labeling, the network covers RLHF preference ranking, DPO pair generation, reasoning verification, adversarial red teaming, and human benchmarking.
- **Transparent fees and managed option:** Self-serve hiring carries a 10% marketplace fee plus $9.95 per new contract, while a fully managed program with a dedicated lead is priced at 20%. Payment is handled on-platform.

**Strengths:** Large pre-vetted network (711,000+ people) with coverage in 240+ countries and 120+ languages; Candidates are tested and scored on cross-platform performance data instead of self-reported skills; Hires deploy into existing annotation tools, avoiding migration or vendor lock-in; Support for advanced work such as RLHF, DPO pairs, red teaming, and human benchmarking

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

## Frequently Asked Questions

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

Models.dev has 200,451 monthly visits, while OpenTrain AI has 1,469,348. 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%; OpenTrain AI has +11.2%.

### 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. OpenTrain AI: Contact for Pricing. OpenTrain AI uses a marketplace-fee model rather than a subscription. The company lists self-service pricing at 10% of the amount paid to talent plus $9.95 for each new contract, and a managed-service fee of 20% when OpenTrain recruits, trains, and runs the team. Buyers set rates for freelancers, and larger enterprise engagements are quoted on request.

## 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 | AI-driven talent marketplace matching domain experts with AI labs, focusing more on long-term remote roles than short tasks. | [.md](https://openaitools.app/tool/mercor-com.md) |
| 2 | [Outlier AI](https://openaitools.app/tool/outlier-ai) | 10,372,036 | +7.6% | Paid | Massive global pool of subject matter experts for RLHF and model training, but features less personalized curation. | [.md](https://openaitools.app/tool/outlier-ai.md) |
| 3 | [clickworker](https://openaitools.app/tool/clickworker-com) | 1,861,149 | +0.5% | Contact for Pricing | Offers crowdsourced data collection and annotation at scale, but lacks specialized frontier-model RLHF training workflows. | [.md](https://openaitools.app/tool/clickworker-com.md) |
| 4 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | Enterprise-grade data labeling and annotation platform, but places more emphasis on tooling than direct expert recruitment. | [.md](https://openaitools.app/tool/labelbox.md) |
| 5 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Advanced multimodal data annotation platform with robust enterprise management tools, but relies more on software than managed talent. | [.md](https://openaitools.app/tool/super-annotate.md) |
| 6 | [Surge AI](https://openaitools.app/tool/surgehq-ai) | 245,142 | +6.6% | Contact for Pricing | Provides highly vetted human data and evaluation workforces for frontier labs, but caters primarily to enterprise clients. | [.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 | [Learn Prompting](https://openaitools.app/tool/learn-prompting) | 159,807 | -8.6% | Freemium, Free Trial, Contact for Pricing | Free open course for prompt engineering and AI security | [.md](https://openaitools.app/tool/learn-prompting.md) |
| 9 | [Open Data Science (ODS.ai)](https://openaitools.app/tool/ods-ai) | 159,630 | +15.9% | Free | Community hub for data science, machine learning and AI practitioners | [.md](https://openaitools.app/tool/ods-ai.md) |
| 10 | [AI Jobs](https://openaitools.app/tool/ai-jobs) | 40,342 | -0.4% | Paid | The job board built for AI, ML, and data science careers | [.md](https://openaitools.app/tool/ai-jobs.md) |

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

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