# Models.dev vs ModelScope Models.dev records 200,451 monthly visits with -3.9% month-over-month growth and Free pricing. ModelScope records 3,085,423 monthly visits with +5.1% growth and Free pricing. | Metric | [Models.dev](https://openaitools.app/tool/models-dev) | [ModelScope](https://openaitools.app/tool/modelscope-community) | | :--- | :--- | :--- | | Website URL | https://models.dev | https://www.modelscope.cn | | Categories | AI Models, AI API, Open Source AI Models, AI Tools Directory | Open Source AI Models, AI Models, AI Developer Tools, Large Language Models (LLMs) | | Pricing Model | Free | Free | | Monthly Visits | 200,451 | 3,085,423 | | MoM Growth Rate | -3.9% | +5.1% | | Primary Market | China | China | | Direct Visits | 136,316 | 2,108,104 | | Review Score | 4.4 | 4.5 | | 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) ## ModelScope ModelScope, also known as the Magic Model community, is an open-source AI model and dataset hub built and maintained with Alibaba. It gathers models for natural language processing, computer vision, speech, multimodal generation, and more, letting researchers and developers browse, download, and evaluate them in one place. Each model typically ships with documentation, a model card, and an interactive online demo so you can try it directly in the browser before installing anything. Beyond hosting files, ModelScope functions as a full model-as-a-service workspace. Users get free online notebooks with GPU and CPU resources for training and fine-tuning, plus hosted inference endpoints and a Python library that integrates with common deep learning frameworks. Community features such as model collections, benchmarks, competitions, and discussion boards make it a social hub as much as a repository. The platform is free to use, with compute credits and hosted serving tied to account usage. Its close association with Alibaba Cloud means it also serves as a practical gateway for teams who want to move from experimentation to production deployment within a familiar cloud ecosystem. **Pricing & Plans:** Free to use. Browsing, downloading models and datasets, and running online demos are free; free GPU/CPU notebook credits and hosted inference are available, with additional cloud resources tied to Alibaba Cloud services. - **Model & Dataset Hub:** Browse and download thousands of pretrained models and datasets across NLP, vision, audio, and multimodal tasks. - **One-click Online Demos:** Try models directly in the browser through hosted inference demos without local setup. - **Free Notebook Compute:** Run training and fine-tuning in cloud notebooks with complimentary GPU and CPU resources. - **Python Library & SDK:** Integrate ModelScope models into your own pipelines using the official Python package and APIs. - **Community & Benchmarks:** Join competitions, publish model cards, and compare results through community benchmarks and leaderboards. **Strengths:** Huge, free catalog of models and datasets; Built-in online demos require no installation; Complimentary GPU/CPU notebook compute; Strong integration with Alibaba Cloud for scaling **Limitations:** Much of the documentation is Chinese-first; Hosted features may require an account and regional access; Interface can feel dense for newcomers [Profile (Markdown)](https://openaitools.app/tool/modelscope-community.md) ## Frequently Asked Questions ### How do Models.dev and ModelScope compare in monthly traffic? Models.dev has 200,451 monthly visits, while ModelScope has 3,085,423. 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%; ModelScope has +5.1%. ### 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. ModelScope: Free. Free to use. Browsing, downloading models and datasets, and running online demos are free; free GPU/CPU notebook credits and hosted inference are available, with additional cloud resources tied to Alibaba Cloud services. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Hugging Face](https://openaitools.app/tool/hugging-face) | 31,232,542 | +0.1% | Freemium, Paid | The global standard open-source AI hub offering vastly larger model and dataset repositories than ModelScope. | [.md](https://openaitools.app/tool/hugging-face.md) | | 2 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Convenient API gateway for multi-model access, but does not provide ModelScope's open-source model repository or dataset hosting. | [.md](https://openaitools.app/tool/openrouter-ai.md) | | 3 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Streamlined local CLI runtime for running LLMs, but lacks ModelScope's web-based model hosting and dataset discovery. | [.md](https://openaitools.app/tool/ollama.md) | | 4 | [Civitai](https://openaitools.app/tool/civitai) | 6,963,136 | +12.8% | Freemium | Superior community hub specifically for generative image and media models, but lacks ModelScope's broad NLP and code support. | [.md](https://openaitools.app/tool/civitai.md) | | 5 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Robust cloud infrastructure for running open-source models via API, but lacks ModelScope's community-driven model discovery and demo workspace. | [.md](https://openaitools.app/tool/together-ai.md) | | 6 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Feature-rich self-hosted chat interface for local models, but lacks ModelScope's comprehensive repository of raw model weights and datasets. | [.md](https://openaitools.app/tool/open-webui.md) | | 7 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Track, evaluate, and ship AI models and agents in one connected environment. | [.md](https://openaitools.app/tool/prompts.md) | | 8 | [Jan](https://openaitools.app/tool/jan) | 291,894 | -9.6% | Free | User-friendly desktop app for local model execution, but focuses on client-side running rather than cloud model hubs. | [.md](https://openaitools.app/tool/jan.md) | | 9 | [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) | | 10 | [Lemonade](https://openaitools.app/tool/lemonade-ai) | 96,232 | -34.4% | Free | Run local AI for text, images and speech on your own machine | [.md](https://openaitools.app/tool/lemonade-ai.md) | --- Source: https://openaitools.app/compare/models-dev-vs-modelscope-community More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)