Open-Weight Models Qwen-3.8, Kimi-K3, and GLM-5.2 Drive Wild Databricks Customer Demand

Qwen-3.8 (2.4T) is noted as "second only to Fable 5," while Kimi-K3 (2.8T) is positioned behind Claude Fable 5 Max and GPT-5.6 Sol Max. GLM-5.2 (753B) is highlighted for its efficiency and capability, contributing to the significant demand observed from Databricks customers.

So What

Open-weight models are rapidly closing the capability gap with frontier models, increasing enterprise adoption and driving demand for compute infrastructure.

View Tweet→

Sources (1)

Open-Weight Models Qwen-3.8, Kimi-K3, and GLM-5.2 Drive Wild Databricks Customer Demand

AI Discussions 2 · Twitter · 2d ago

View tweet→

Credibility

Lead sourceAI Discussions 2

Corroboration1 distinct outlet

VerificationSingle source

Entities

Databricksmentioned

Unlock the full signal with Pro

Tessara synthesizes 80+ data sources into actionable intelligence for AI infrastructure investors.

Unlock with Pro→Sign in

← SignalsSignal

Watch7.5ModelsSingle sourceactive

Updated 2d ago · 1 source

Open-Weight Models Qwen-3.8, Kimi-K3, and GLM-5.2 Drive Wild Databricks Customer Demand

Qwen-3.8 (2.4T) is noted as "second only to Fable 5," while Kimi-K3 (2.8T) is positioned behind Claude Fable 5 Max and GPT-5.6 Sol Max. GLM-5.2 (753B) is highlighted for its efficiency and capability, contributing to the significant demand observed from Databricks customers.

So What

Open-weight models are rapidly closing the capability gap with frontier models, increasing enterprise adoption and driving demand for compute infrastructure.

View Tweet→