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MMLab CUHK, Tsinghua, HKUST(GZ), JD Explore Academy is the AI lab behind the models on this page. Browse their full catalog ranked by benchmarks, popularity, and hardware fit.
Models tracked
1
Open weight
1
API only
0
Avg score
63.3
Top benchmark
—
Total HF downloads
19
First release
Nov 2026
Latest release
Nov 2026
Ranked by composite score across benchmarks, popularity, efficiency, and versatility.
| # | Model | Modality | Score | Params | Released |
|---|---|---|---|---|---|
| 1 | text | BB63.3 | 27B | Nov 2026 |
The strongest model from this provider in each modality. Click a card to open the model page.
How this provider’s catalog splits across text, image, video, audio, embedding, and decision models.
Composite grades across this provider’s catalog. Higher is better, blending benchmarks, popularity, and efficiency.
Models with downloadable weights, ranked by composite score.
| # | Model | Modality | Score | Params | Released |
|---|---|---|---|---|---|
| 1 | text | BB63.3 | 27B | Nov 2026 |
MMLab CUHK, Tsinghua, HKUST(GZ), JD Explore Academy ships 1 model that we track. Of those, 1 are open weight and 0 are accessed through their API.
It depends on the model. See the open-weight section above for models you can run locally, and the API-only section for closed models priced per token.
By composite score, CUA-Master-27B is currently the top MMLab CUHK, Tsinghua, HKUST(GZ), JD Explore Academy model in our directory. Composite score blends benchmarks, popularity, efficiency, and versatility.
Full Directory
Open the full directory to filter by hardware, capability, license, and benchmark score.
Open Directory
See every release in a family side by side, with a timeline and a leaderboard. Useful when you have already picked a series and want the right size.
Benchmark data sourced from: Hugging Face, Arena.ai, Artificial Analysis.
