Qwen3.8-Max
Alibaba's 2.4 trillion parameter flagship ships with real pricing and a published benchmark table, but the open-weight release it promised for this week still hasn't shown up.
Articles Tagged "Qwen"
Qwen3-30B-A3B
Qwen3-30B-A3B is Alibaba's efficient MoE model that activates 3.3B of 30.5B parameters per token, matching much larger dense models on reasoning and agent benchmarks under Apache 2.0.
Faking Alignment, Multilingual Scheming, Chatbot Well-Being
Three new arXiv papers show alignment faking needs no instrumental incentive, LLM scheming spikes in low-resource languages, and Microsoft researchers map the psychological risks of everyday chatbot use.
POCKET-35B
VIDRAFT quantizes its Darwin-36B-Opus MoE model into a 35B GGUF that runs on stock llama.cpp with no GPU, trading GPQA Diamond score for CPU and phone portability.
A 35B Model That Runs on Your Phone Was Bred, Not Trained
VIDRAFT compressed its leaderboard-climbing Darwin-36B-Opus into POCKET-35B, a GPU-free model for phones and CPUs, but its headline GPQA score depends on how you count.
Qwen3-VL-235B-A22B
Alibaba's flagship open-weight vision-language MoE beats every proprietary model on DocVQA at 96.5% and MathVista at 85.8%, but trails GPT-5.4 and Gemini 3.1 Pro on broad MMMU-Pro reasoning.
Qwen2.5-VL-72B-Instruct
Alibaba's dense 72B vision-language model tops the open-weight DocVQA leaderboard at 96.4% and remains the default self-hosted choice for document and chart understanding.
Qwen3.8-Max-Preview Review: Second Place, Unproven
Alibaba's 2.4 trillion parameter preview claims it trails only Claude Fable 5. I tested it for free at chat.qwen.ai and found a capable but slow model with zero benchmarks to back the claim.
Alibaba's Qwen3.8 Claims It Trails Only Claude Fable 5
Alibaba previewed a 2.4-trillion-parameter multimodal model at WAIC and said it ranks second only to Claude Fable 5, without publishing a single benchmark to back the claim.
Qwen3.8-Max-Preview
Alibaba's 2.4 trillion parameter multimodal MoE model claims to trail only Claude Fable 5, but ships with no model card, no benchmark table, and no confirmed pricing.
A 27B AI Model Now Fits an iPhone - Apple Is Watching
PrismML compressed a 27B-parameter Qwen model from 54GB to under 4GB using 1-bit and ternary weights, and Apple is evaluating the technology for on-device Siri.
Bonsai 27B
Bonsai 27B compresses Alibaba's Qwen3.6-27B into 1-bit and ternary weights, shrinking a 54GB model to as little as 3.9GB so it runs on an iPhone.
