# ModelScope vs SuperAnnotate

ModelScope 记录了 3,085,423 月访问量，月度环比增长为 +5.1%，定价为免费。SuperAnnotate 记录了 386,034 月访问量，增长率为 +37.4%，定价为免费试用，定价请咨询。

| 指标 | [ModelScope](https://openaitools.app/zh/tool/modelscope-community) | [SuperAnnotate](https://openaitools.app/zh/tool/super-annotate) |
| :--- | :--- | :--- |
| 官网地址 | https://www.modelscope.cn | https://www.superannotate.com |
| 分类 | Open Source AI Models, AI Models, AI Developer Tools, Large Language Models (LLMs) | AI Workflow, AI Developer Tools, AI 项目管理 |
| 定价模式 | 免费 | 免费试用，定价请咨询 |
| 月访问量 | 3,085,423 | 386,034 |
| 月度环比增长率 | +5.1% | +37.4% |
| 主要市场 | 中国 | 美国 |
| 直接访问量 | 2,108,104 | 248,258 |
| 评价得分 | 4.5 | 4.6 |
| 收藏数 | 0 | 0 |
| 支持平台 | 网站 | 网站 |

## ModelScope

ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure.

**定价与套餐:** 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.

**优势:** 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

**局限:** Much of the documentation is Chinese-first; Hosted features may require an account and regional access; Interface can feel dense for newcomers

[工具详情（Markdown）](https://openaitools.app/zh/tool/modelscope-community.md)

## SuperAnnotate

SuperAnnotate is an AI data platform that combines a collaborative multimodal annotation editor, an expert data-operations team, and the orchestration layer needed to move curated datasets into training, evaluation, and production pipelines. It is aimed at teams building computer vision, NLP, audio, and generative AI systems who need reliable, high-quality ground truth at scale.

**定价与套餐:** SuperAnnotate publishes three main tiers: Starter, Pro, and Enterprise. Starter is described as an entry point for small projects, Pro targets scaled AI and MLOps workloads and is sold via a demo request, and Enterprise is quoted through sales for well-established, recurring, high-volume programs. Published plan comparison highlights compute orchestration allowances of roughly 1K compute hours on Starter, 2.5K on Pro, and 10K on Enterprise, with SSO, dedicated Slack channels, a customer success manager, a solutions engineer, and AI DataOps consulting reserved for higher tiers. Exact prices are not listed publicly, so you should contact the vendor for a quote.

- **Customizable multimodal editor:** One configurable annotation surface for image, video, text, and audio projects, so multimodal datasets can be labeled without switching tools.
- **Data curation and exploration:** Search, filter, and inspect datasets to find the examples that will most improve a model, then route them into targeted annotation or review queues.
- **Analytics and insights:** Dashboards for annotation volume, reviewer agreement, and project progress, plus advanced analytics on upper tiers for program-level reporting.
- **Compute orchestration:** Metered orchestration capacity for running annotation, evaluation, and data-processing workloads, scaled by plan from roughly 1K to 10K compute hours.
- **Managed Data Operations:** Optional access to SuperAnnotate's own annotation experts and AI DataOps consultants to run large or specialized data programs end to end.

**优势:** Unified editor removes the need to maintain separate tools per modality; Rich project management and quality analytics suited to large distributed teams; Enterprise-grade governance features such as SSO and dedicated support channels; Managed data-operations services let you outsource complex or high-volume programs

**局限:** No public list price, so budgeting requires a sales conversation; Advanced analytics, SSO, and dedicated support are locked to higher tiers; The breadth of features can be heavy for individuals or very small teams; Compute orchestration capacity is metered and may require planning for large jobs

[工具详情（Markdown）](https://openaitools.app/zh/tool/super-annotate.md)

## 常见问题

### ModelScope 和 SuperAnnotate 在月流量上如何比较？

ModelScope 有 3,085,423 月访问量，而 SuperAnnotate 有 386,034。流量估算描述的是受众规模，而非产品质量。

### 它们的增长率如何比较？

ModelScope 的月度环比增长率为 +5.1%；SuperAnnotate 为 +37.4%。

### 价格如何比较？

ModelScope: 免费。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. SuperAnnotate: 免费试用，定价请咨询。SuperAnnotate publishes three main tiers: Starter, Pro, and Enterprise. Starter is described as an entry point for small projects, Pro targets scaled AI and MLOps workloads and is sold via a demo request, and Enterprise is quoted through sales for well-established, recurring, high-volume programs. Published plan comparison highlights compute orchestration allowances of roughly 1K compute hours on Starter, 2.5K on Pro, and 10K on Enterprise, with SSO, dedicated Slack channels, a customer success manager, a solutions engineer, and AI DataOps consulting reserved for higher tiers. Exact prices are not listed publicly, so you should contact the vendor for a quote.

## 替代工具

| # | 工具名称 | 月访问量 | 月度环比增长率 | 定价模式 | 简介 | 工具详情（Markdown） |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Hugging Face](https://openaitools.app/zh/tool/hugging-face) | 31,232,542 | +0.1% | 免费增值，付费 | 作为全球标准的开源 AI 枢纽，提供比 ModelScope 大得多的模型与数据集库。 | [.md](https://openaitools.app/zh/tool/hugging-face.md) |
| 2 | [OpenRouter](https://openaitools.app/zh/tool/openrouter-ai) | 19,941,437 | -6.2% | 付费 | Convenient API gateway for multi-model access, but does not provide ModelScope's open-source model repository or dataset hosting. | [.md](https://openaitools.app/zh/tool/openrouter-ai.md) |
| 3 | [Ollama](https://openaitools.app/zh/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | 用于运行大语言模型的精简本地 CLI 运行环境，但缺乏 ModelScope 的网页版模型托管与数据集发现功能。 | [.md](https://openaitools.app/zh/tool/ollama.md) |
| 4 | [Civitai](https://openaitools.app/zh/tool/civitai) | 6,963,136 | +12.8% | 免费增值 | 专为图像和媒体生成模型打造的优秀社区中心，但缺乏 ModelScope 广泛的 NLP 和代码支持。 | [.md](https://openaitools.app/zh/tool/civitai.md) |
| 5 | [Together AI](https://openaitools.app/zh/tool/together-ai) | 1,645,930 | +64.9% | 免费增值，付费 | 通过 API 运行开源模型的强大云端基础设施，但缺乏 ModelScope 社区驱动的模型发现与演示工作区。 | [.md](https://openaitools.app/zh/tool/together-ai.md) |
| 6 | [Open WebUI](https://openaitools.app/zh/tool/open-webui) | 804,534 | -2.8% | 免费增值 | 功能丰富的本地模型自托管聊天界面，但缺乏 ModelScope 全面的原始模型权重和数据集代码库。 | [.md](https://openaitools.app/zh/tool/open-webui.md) |
| 7 | [Labelbox](https://openaitools.app/zh/tool/labelbox) | 762,803 | -22.8% | 定价请咨询 | 强大的企业级数据标注与智能体自动化，但采用不同的协作界面和定价结构。 | [.md](https://openaitools.app/zh/tool/labelbox.md) |
| 8 | [Appen](https://openaitools.app/zh/tool/appen-com) | 665,840 | +0.2% | 定价请咨询 | Extensive human-validated training datasets and alignment services, but lacks SuperAnnotate's self-serve software platform flexibility. | [.md](https://openaitools.app/zh/tool/appen-com.md) |
| 9 | [Weights & Biases（CoreWeave Forge）](https://openaitools.app/zh/tool/prompts) | 315,624 | -80.2% | 免费增值，定价请咨询，免费 | Exceptional for ML experiment tracking and LLM evaluation, but does not provide traditional computer vision data labeling environments. | [.md](https://openaitools.app/zh/tool/prompts.md) |
| 10 | [Jan](https://openaitools.app/zh/tool/jan) | 291,894 | -9.6% | 免费 | 便于本地运行模型的友好桌面端应用，但专注于客户端运行而非云端模型库。 | [.md](https://openaitools.app/zh/tool/jan.md) |

---
来源：https://openaitools.app/zh/compare/modelscope-community-vs-super-annotate

更多 Markdown 页面: [分类](https://openaitools.app/zh/categories.md) · [流量排名](https://openaitools.app/zh/rankings.md) · [llms.txt](https://openaitools.app/zh/llms.txt)