# Models.dev vs Open Data Science (ODS.ai)

Models.dev records 200,451 monthly visits with -3.9% month-over-month growth and Free pricing. Open Data Science (ODS.ai) records 159,630 monthly visits with +15.9% growth and Free pricing.

| Metric | [Models.dev](https://openaitools.app/tool/models-dev) | [Open Data Science (ODS.ai)](https://openaitools.app/tool/ods-ai) |
| :--- | :--- | :--- |
| Website URL | https://models.dev | https://ods.ai |
| Categories | AI Models, AI API, Open Source AI Models, AI Tools Directory | AI For Data Analytics, AI Jobs, AI Models, AI Developer Tools |
| Pricing Model | Free | Free |
| Monthly Visits | 200,451 | 159,630 |
| MoM Growth Rate | -3.9% | +15.9% |
| Primary Market | China | Russia |
| Direct Visits | 136,316 | 110,924 |
| Review Score | 4.4 | 4.5 |
| 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)

## Open Data Science (ODS.ai)

ODS.ai, short for Open Data Science, is one of the longest-running community platforms for data science, machine learning and AI practitioners. Rather than being a single-purpose product, it works as a hub: members browse live ML competitions, join hackathons and tasks, follow learning tracks and seasonal courses, and read talk recordings from the Data Fest conference series.

The platform is organized around 'tracks', 'hubs' and events. Company hubs from partners in tech, retail, banking and marketplaces publish their own activities, while community hubs cover topics such as NLP, MLOps, computer vision, reliable ML and women in big data. There is also a well-known jobs section where companies post data science and ML roles.

The service is free for members. Its value comes from the network and the volume of educational and competitive content it collects, making it a useful starting point for people learning ML, competing in data challenges or looking to hire and be hired in the field.

**Pricing & Plans:** Free to use as a community platform; there is no paid subscription for browsing competitions, tracks or hubs.

- **ML competitions and hackathons:** Browse and join live data science competitions with leaderboards run by partner companies.
- **Courses and learning tracks:** Seasonal courses, streams and structured tracks covering NLP, LLMs, classical ML and more.
- **Conference content:** Talk recordings and materials from the Data Fest conference series are published as tracks.
- **Company and community hubs:** Follow topic and company hubs to get activities, meetups and tasks relevant to your interests.
- **Jobs board:** A jobs section where organizations post data science, ML and AI roles.

**Strengths:** Long-established, well-known community in the data science space; Free to browse and participate in competitions, courses and hubs; Wide topic coverage from classical ML to LLMs and MLOps; Combines learning, competition, events and jobs in one platform

**Limitations:** Primarily Russian-language content, which limits reach for non-Russian speakers; It is a community hub, not a hands-on AI tool with its own models; Information can be spread across many tracks and hubs, so navigation takes some getting used to

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

## Frequently Asked Questions

### How do Models.dev and Open Data Science (ODS.ai) compare in monthly traffic?

Models.dev has 200,451 monthly visits, while Open Data Science (ODS.ai) has 159,630. 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%; Open Data Science (ODS.ai) has +15.9%.

### 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. Open Data Science (ODS.ai): Free. Free to use as a community platform; there is no paid subscription for browsing competitions, tracks or hubs.

## 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-powered talent marketplace connecting experts with frontier AI work | [.md](https://openaitools.app/tool/mercor-com.md) |
| 2 | [Outlier AI](https://openaitools.app/tool/outlier-ai) | 10,372,036 | +7.6% | Paid | Get paid to train the next generation of AI models | [.md](https://openaitools.app/tool/outlier-ai.md) |
| 3 | [DeepLearning.AI](https://openaitools.app/tool/deeplearning-ai) | 2,562,512 | -7.2% | Freemium | Provides comprehensive AI engineering courses and certifications, but lacks the collaborative hackathon and open community features. | [.md](https://openaitools.app/tool/deeplearning-ai.md) |
| 4 | [OpenAI Academy](https://openaitools.app/tool/openai-academy) | 937,379 | -6.3% | Free | Official learning hub with structured AI courses, but lacks independent community hackathons and broader practitioner discussions. | [.md](https://openaitools.app/tool/openai-academy.md) |
| 5 | [LabLab.ai](https://openaitools.app/tool/lablab-ai) | 431,529 | -39.7% | Free | Global community platform hosting AI hackathons and developer events, though lacks the broad general data science discussion forums of ODS. | [.md](https://openaitools.app/tool/lablab-ai.md) |
| 6 | [fast.ai](https://openaitools.app/tool/fast-ai) | 250,720 | -10.4% | Free | Offers free deep learning courses and open-source libraries, but focuses strictly on education rather than broad community chat. | [.md](https://openaitools.app/tool/fast-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 | Offers structured educational guides on prompt engineering, but lacks general machine learning research and networking. | [.md](https://openaitools.app/tool/learn-prompting.md) |
| 9 | [The Full Stack (fullstackdeeplearning.com)](https://openaitools.app/tool/fullstackdeeplearning-com) | 46,082 | +6.6% | Free (educational content) | Delivers robust educational resources for ML applications, but does not provide active community collaboration hubs or job boards. | [.md](https://openaitools.app/tool/fullstackdeeplearning-com.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-ods-ai

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