CogVLM2

Zhipu AI · 2024 · Multimodal LLM · China

A to Z

A · App: No
B · Built By: Zhipu AI
C · CEO & Politics: Zhang Peng — Not publicly documented (PRC-based; operates under Chinese regulatory environment)
D · Date: 2024
E · Expertise: Intermediate+
F · Free Tier: Yes
G · Generates: Text only
H · Deployment: Cloud + Local (open weights)
I · Inputs: Text+Image+Audio
J · Jurisdiction: China
K · Key Staffers: Zhang Peng (CEO), Tang Jie (Chief Scientist), Liu Debing (Chairman)
L · Languages: Chinese-primary
M · Model Type: Multimodal LLM
N · Safety Issues: None reported
O · Open Source: Yes — open weights
P · Pricing: Free (open weights, CogVLM License: free commercial use after registration)
Q · AIDb Rating: [UNKNOWN]
R · What Makes It Special: CogVLM2, a family of open visual language models for image and video understanding (CogVLM2, CogVLM2-Video and GLM-4V) that keeps CogVLM's visual-expert architecture with improved pre- and post-training, accepts images up to 1344x1344 pixels and adds video input with timestamps; its authors report state-of-the-art results on MMBench, MM-Vet, TextVQA, MVBench and VCGBench.
S · Stock / Status: HK$622 (2513.HK, Sep 28, 2026)
T · Training Cutoff: [UNKNOWN]
U · Users: [UNKNOWN]
V · Voice Chat: No
W · Weights: Downloadable
X · X Handle: @ZhipuAI
Y · Year Founded: [UNKNOWN]
Z · Bottom Line: Open-weights Multimodal LLM from Zhipu AI, released 2024.

Data completeness 85% · Last verified 2026-05-12 · Primary source ↗

“CogVLM2.” AIDb — The AI Database. Verified 2026-05-12. https://theaidatabase.com/m/cogvlm2.html