{"data":{"slug":"qwen-3-8","etype":"model","name":"Qwen 3.6 / 3.7-Max / 3.8 (2026 line)","cat":"Language","subtitle":"Alibaba's 2026 wave, topping out at a 2.4-trillion-parameter open MoE.","summary":"Alibaba kept the world's most-forked open family sprinting through 2026: Qwen 3.6 (April — a 35B-A3B mixture-of-experts and a 27B dense model, Apache 2.0), the API-only closed Qwen 3.7-Max (May 19), and in August the Qwen 3.8 generation — headlined by a 2.4T-parameter MoE activating 95B with a hybrid DeltaNet attention design, alongside an open 27B dense vision-language model. The pattern mirrors the industry's split: permissive open weights for the family, API-only for the very top.","attrs":[{"b":"Reported","g":"Overview","l":"2026 cadence","v":"3.6 (Apr, open) → 3.7-Max (May, API-only) → 3.8 (Aug: 2.4T-A95B MoE + 27B VL, open)"}],"kf":{"params":"up to 2.4T (95B active)","context":"1M","weights":"Open (Apache) + closed Max tier","modality":"Text + vision","rel_date":"2026-08","developer":"Alibaba"},"aliases":["Qwen 3.8","Qwen 3.6","Qwen 3.7 Max","Qwen3.8-2.4T"],"ticker":null,"exchange":null,"hq":null,"founded":null,"website":null,"status":"Current","region":null,"asof":"2026-08-31","sources":[{"url":"https://codersera.com/blog/open-source-llms-landscape-2026/","label":"Open-source LLM landscape 2026 (Qwen line)"},{"url":"https://www.layer3labs.io/comparisons/best-chinese-ai-models","label":"Chinese AI models 2026 comparison"}]},"meta":{"found":true,"count":1,"served_from":"site cache (no live upstream calls)","as_of":"2026-10-14T12:48:47+00:00","disclaimer":"Research and information only — not investment advice. Structured records carry basis labels (vendor spec / reported / estimate); market quotes are delayed/indicative.","attribution":"Records compiled from vendor documentation, official filings and reputable public reporting; market quotes via financial data providers. See /data-sources."}}