# ModelScope vs NaN Builders

ModelScope records 3,085,423 monthly visits with +5.1% month-over-month growth and Free pricing. NaN Builders records 47,153 monthly visits with +18.7% growth and Subscription pricing.

| Metric | [ModelScope](https://openaitools.app/tool/modelscope-community) | [NaN Builders](https://openaitools.app/tool/nan-builders) |
| :--- | :--- | :--- |
| Website URL | https://www.modelscope.cn | https://nan.builders |
| Categories | Open Source AI Models, AI Models, AI Developer Tools, Large Language Models (LLMs) | AI API, Open Source AI Models, Large Language Models (LLMs), AI Models |
| Pricing Model | Free | Subscription |
| Monthly Visits | 3,085,423 | 47,153 |
| MoM Growth Rate | +5.1% | +18.7% |
| Primary Market | China | Spain |
| Direct Visits | 2,108,104 | 27,759 |
| Review Score | 4.5 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## 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)

## NaN Builders

NaN ("Not a Number") is built around a simple observation: closed-model APIs are convenient but costly and rate-limited, while open models are free but need hardware most people don't own. NaN closes that gap by pooling powerful GPUs among builders who actually use them and splitting the real infrastructure cost across members. There is no per-token billing on the models NaN hosts itself.

The cluster hosts around seventeen open models covering chat and reasoning (DeepSeek, Qwen, GLM, Gemma, Kimi, Tencent Hunyuan), embeddings, reranking, text-to-speech with Kokoro, speech-to-text with Whisper, and image generation with FLUX and Qwen-Image. Everything is served through an OpenAI-compatible endpoint, so existing SDKs, agents and coding tools mostly work by changing the base URL and API key. Models are voted on by the community every quarter, and privacy is a stated design goal: processing stays in the European Union and prompts and responses are not logged.

Access is a three-tier membership rather than a usage meter. The lowest tier is Discord community access only, the middle tier adds API credits and private channels, and the premium tier adds far more credits, larger models and higher concurrency. There is also a separate paid add-on for dedicated cloud workspaces. The community is deliberately gated so members are people who actually build, with projects showcased on the site.

**Pricing & Plans:** Flat-rate monthly membership in euros with VAT included, plus optional paid workspace add-ons. A community-only tier covers Discord access, while higher tiers add API credits, bigger models, more concurrency and a free Micro workspace on the top plan. Exact prices are listed on the official pricing section.

- **OpenAI-compatible API:** Point an existing SDK, agent or coding tool at NaN's endpoint with a personal API key and keep your current code, just swapping the base URL.
- **Flat-rate, not per token:** Membership plans include recurring credits and the self-hosted models draw none, so heavy experimentation does not scale linearly in cost.
- **Broad open-model lineup:** Chat, reasoning and vision models plus embeddings, reranking, Kokoro TTS, Whisper STT and image generation from FLUX and Qwen-Image, all behind one API.
- **Privacy by design:** Inference runs in the European Union with zero prompt or response logging; your code is not used for training and only cluster metrics are retained.
- **Community voting and gated membership:** Members vote each quarter on which open models the cluster hosts and get private Discord channels, events, workshops and hackathons.

**Strengths:** Predictable flat monthly cost instead of unpredictable token spend; Genuinely broad open-model coverage, including speech, embeddings, reranking and image generation; Drop-in OpenAI-compatible endpoint means minimal code changes; Strong privacy posture with EU processing and zero prompt logging

**Limitations:** There is no free inference tier; calling the models requires a paid membership or credit packs; Access and support are Discord-centric, which suits developers more than non-technical users; Credit allowances and model availability are set by community votes and can change between quarters

[Profile (Markdown)](https://openaitools.app/tool/nan-builders.md)

## Frequently Asked Questions

### How do ModelScope and NaN Builders compare in monthly traffic?

ModelScope has 3,085,423 monthly visits, while NaN Builders has 47,153. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

ModelScope has a month-over-month growth rate of +5.1%; NaN Builders has +18.7%.

### How does pricing compare?

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. NaN Builders: Subscription. Flat-rate monthly membership in euros with VAT included, plus optional paid workspace add-ons. A community-only tier covers Discord access, while higher tiers add API credits, bigger models, more concurrency and a free Micro workspace on the top plan. Exact prices are listed on the official pricing section.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [OpenAI Platform](https://openaitools.app/tool/openai) | 234,678,639 | -9.6% | Paid | Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents. | [.md](https://openaitools.app/tool/openai.md) |
| 3 | [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) |
| 4 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | One API key for hundreds of AI models from every major provider | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 5 | [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) |
| 6 | [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) |
| 7 | [Groq](https://openaitools.app/tool/groq) | 3,987,936 | +10% | Paid | Ultra-fast AI inference on the LPU and LPX platform | [.md](https://openaitools.app/tool/groq.md) |
| 8 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all b | [.md](https://openaitools.app/tool/together-ai.md) |
| 9 | [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) |
| 10 | [LiteLLM](https://openaitools.app/tool/litellm) | 576,967 | +7.9% | Freemium, Contact for Pricing | One open-source AI gateway for 100+ LLM providers | [.md](https://openaitools.app/tool/litellm.md) |

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Source: https://openaitools.app/compare/modelscope-community-vs-nan-builders

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