#alibaba×

#Qwen3-Flash-Next#Alibaba#Open Weights

Qwen3.8-Flash-Next: Open-Weight Model Beats Claude Opus 4.6 Max

Alibaba's Qwen3.8-Flash-Next, an open-weight model with 6B active params, beats Claude Opus 4.6 Max in coding and agentic tasks. From $0.16/M input tokens.

cpaua6d ago1 min104

#Vector Search#RAG Systems#Open Source

zvec: Lightweight Local Vector Search for Your Own Knowledge Base

Alibaba’s open-source zvec embeds vector search like SQLite—no servers. Fast hybrid vector + full-text search, on-disk index, and Zvec Studio.

cpauaJune 19, 2026 at 06:15 PM2 min282

#Qwen#Alibaba#MoE Models

Alibaba Qwen3.6-35B-A3B: Sparse MoE Model with 3B Active Params

Alibaba’s Qwen3.6-35B-A3B is a sparse MoE with 3B active params, strong coding and multimodal vision results, plus GGUF for local 4-bit runs.

cpauaApril 17, 2026 at 06:07 AM1 min298