ParScale

Alibaba · 2025 · LLM · China

A to Z

A · App: No
B · Built By: Alibaba
C · CEO & Politics: Eddie Wu — Not publicly documented (PRC-based; operates under Chinese regulatory environment)
D · Date: 2025
E · Expertise: Intermediate+
F · Free Tier: Yes
G · Generates: Text only
H · Deployment: Local (open weights)
I · Inputs: Text
J · Jurisdiction: China
K · Key Staffers: Jingren Zhou (CTO, Tongyi Lab)
L · Languages: Chinese-primary
M · Model Type: LLM
N · Safety Issues: None reported
O · Open Source: Yes — open weights
P · Pricing: Free (open weights, Apache 2.0)
Q · AIDb Rating: 4/10 · AIDb v2.0 (rule-based): Capability 4/10 · Currency 4/10 · Access 5/10 · Significance 4/10 → 4.15
R · What Makes It Special: Research checkpoints for parallel scaling (ParScale): running several learned parallel streams through one model and combining them, a way to scale beyond adding parameters or inference time. Academic-use checkpoints, Apache 2.0.
S · Stock / Status: $110 (BABA, Sep 25, 2026)
T · Training Cutoff: [UNKNOWN]
U · Users: [UNKNOWN]
V · Voice Chat: No
W · Weights: Downloadable
X · X Handle: @AlibabaGroup
Y · Year Founded: [UNKNOWN]
Z · Bottom Line: Open-weights LLM from Alibaba, released 2025.

Data completeness 88% · Last verified 2026-06-11 · Primary source ↗

“ParScale.” AIDb — The AI Database. Verified 2026-06-11. https://theaidatabase.com/m/alibaba-parscale.html