Free / Open-sourceThe global standard open-source AI hub offering vastly larger model and dataset repositories than ModelScope.

BasicAI Cloud records 21,670 monthly visits with -13.1% month-over-month growth and Freemium, Enterprise Quote pricing. ModelScope records 3,085,423 monthly visits with +5.1% growth and Free pricing.

AI data annotation platform and managed labeling services for AI training data
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | basic.ai | modelscope.cn |
| Pricing Model | Freemium, Enterprise Quote | Free |
| Monthly Visits | 21.67K (21,670) | 3.09M (3,085,423) |
| MoM Traffic Delta |
| -3.27K (-13.1%) |
| +149.05K (+5.1%) |
| Primary Market & Share | 🇺🇸 United States (21.7%) | 🇨🇳 China (82.3%) |
|---|
| Direct Visits / mo | 8.71K | 2.11M |
|---|
| User Rating | 4.2 | 4.5 |
|---|
| Supported Platforms | Website | Website |
|---|

AI data annotation platform and managed labeling services for AI training data
Bounding boxes, polygons, keypoints, semantic segmentation, 3D point cloud cuboids, text/NLP tagging and RLHF dataset creation in one platform.
Automated labeling assistance across images, point clouds and audio reduces manual effort while maintaining accuracy standards.
Project management adapts to your team structure with customizable workflows, progress tracking and detailed performance reporting.
Real-time feedback plus customizable batch QA rules catch issues early and enable targeted human review.
Open-source model and dataset hub with one-click online demos
Browse and download thousands of pretrained models and datasets across NLP, vision, audio, and multimodal tasks.
Try models directly in the browser through hosted inference demos without local setup.
Run training and fine-tuning in cloud notebooks with complimentary GPU and CPU resources.
Integrate ModelScope models into your own pipelines using the official Python package and APIs.
Free / Open-sourceThe global standard open-source AI hub offering vastly larger model and dataset repositories than ModelScope.

SpecialistConvenient API gateway for multi-model access, but does not provide ModelScope's open-source model repository or dataset hosting.
#2Free / Open-sourceStreamlined local CLI runtime for running LLMs, but lacks ModelScope's web-based model hosting and dataset discovery.
#3SpecialistSuperior community hub specifically for generative image and media models, but lacks ModelScope's broad NLP and code support.

Robust cloud infrastructure for running open-source models via API, but lacks ModelScope's community-driven model discovery and demo workspace.

Free / Open-sourceFeature-rich self-hosted chat interface for local models, but lacks ModelScope's comprehensive repository of raw model weights and datasets.

Free / Open-sourceReal-time vision AI models and a full platform to train, annotate, and deploy them


The environments frontier AI trains on, and the agents that do the recurring work

Human-validated training data and evaluation services for frontier AI models

AI data infrastructure for building production-grade models

SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.

Free / Open-sourceUser-friendly desktop app for local model execution, but focuses on client-side running rather than cloud model hubs.
Free / Open-sourceThe global standard open-source AI hub offering vastly larger model and dataset repositories than ModelScope.
SpecialistConvenient API gateway for multi-model access, but does not provide ModelScope's open-source model repository or dataset hosting.
Free / Open-sourceStreamlined local CLI runtime for running LLMs, but lacks ModelScope's web-based model hosting and dataset discovery.
Robust cloud infrastructure for running open-source models via API, but lacks ModelScope's community-driven model discovery and demo workspace.
Free / Open-sourceFeature-rich self-hosted chat interface for local models, but lacks ModelScope's comprehensive repository of raw model weights and datasets.
Free / Open-sourceReal-time vision AI models and a full platform to train, annotate, and deploy them
The environments frontier AI trains on, and the agents that do the recurring work
AI data infrastructure for building production-grade models
SpecialistTrack, evaluate, and ship AI models and agents in one connected environment.
Free / Open-sourceUser-friendly desktop app for local model execution, but focuses on client-side running rather than cloud model hubs.