Alibaba's Qwen3.8 Max scores 56 on the Artificial Analysis Intelligence Index at
Source
ArtificialAnlys
Author
ArtificialAnlys
Published
Terms in this piece · Glossary
open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.
mixture-of-experts — A model built from many specialist sub-networks where only a few activate per token, giving big-model capability at small-model running cost.
Why it matters
It places a new frontier-scale model on the cost/capability frontier against the open-weights leader, which is the comparison an engineer makes when choosing a model to build on.
Transcript
Alibaba's Qwen3.8 Max scores 56 on the Artificial Analysis Intelligence Index at $1.14 per task, but open weights leader Kimi K3 remains 1 point ahead at 25% lower cost per task ($0.86)
@Alibaba_Qwen has released Qwen3.8 Max, which Alibaba states is a 2.4T total parameter MoE https://t.co/Wix4sXPd09
postQwen3.8 Max costs $1.14 per Intelligence Index task, more than double Qwen3.7 Ma
postQwen3.8 Max scores 1739 Elo on GDPval-AA, ahead of Kimi K3 (1685), effectively t
postAA-Omniscience regresses 10 points from Qwen3.7 Max (+14 to +4), reversing its p
postOnly two labs occupy the Time per Task Pareto frontier: all frontier models unde