★
Menu
Home How It's Built Watchlist The Stack
Hardware ChipsCompare Chips Servers & SystemsNetworking MemoryFoundries & Packaging Cooling
Facilities Data CentersPower ProjectsCloud & GPU Compute
Intelligence AI ModelsSoftware AI ProductsBenchmarks Research PapersDatasets Concepts
Ecosystem CompaniesStocks PeopleTimeline TrendsFuture of AI
Learn News Ask the Data AI Agents
About About us Methodology Data & API Disclaimer
Options
DATA & API

Free read-only JSON access to the site's cached data.

Dark mode

Guided View
New to chips, data centers and model jargon? We explain key terms as you browse, in plain English. Same data, with the help built in.

Expert View
You already know the stack. Just the data: clean, fast and compact, with no extra explanations. This is the default view.

Interface language
‹ Back
Home › AI Models › Qwen 3.6 / 3.7-Max / 3.8 (2026 line)

Qwen 3.6 / 3.7-Max / 3.8 (2026 line)

AI Model Language Current

Alibaba's 2026 wave, topping out at a 2.4-trillion-parameter open MoE.

You're looking at an AI model record: who built it, what it can do, and the hardware and data behind it.

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.

Specifications & key facts

Each figure is labeled by basis: vendor spec, vendor claim, reported, estimate, or official. "Not publicly disclosed" means exactly that — we never invent values.

Overview

2026 cadence 3.6 (Apr, open) → 3.7-Max (May, API-only) → 3.8 (Aug: 2.4T-A95B MoE + 27B VL, open)Reported

How this connects to the rest of the stack

This record's links at a glance — click a group to jump to it.

Developed by

Successor to

Sources

Open-source LLM landscape 2026 (Qwen line) ↗ · Chinese AI models 2026 comparison ↗

Record reviewed as of 2026-08-31 — see Methodology.