AITOPAI热报
ModelsOfficial76°

阿里开源 Qwen3.8-Max，2.4 万亿参数称仅次于 Fable 5

Alibaba Qwen3.8 Open Sources 2.4 Trillion Parameters: Claiming Strongest Model After Fable 5 as Chinese Open-Source Models Surge

Primary sourcepandaily@[email protected] (Pandaily)
Blog/Media· 9 sources
Read the original
Why we picked it

阿里把 2.4 万亿参数的 Qwen3.8-Max 开源了，说只比 Fable 5 弱一点。国产开源模型卷到万亿级别了。

阿里巴巴发布 Qwen3.8-Max，参数量达 2.4 万亿，采用开源许可。官方称其性能仅次于 Fable 5。该模型是近一个月内四个中国实验室发布的万亿参数开源模型之一。

Original · pandaily

Alibaba Qwen3.8 Open Sources 2.4 Trillion Parameters: Claiming Strongest Model After Fable 5 as Chinese Open-Source Models Surge

Alibaba releases Qwen3.8-Max with 2.4T parameters under open-source license, claiming second only to Fable 5, as four Chinese model labs launch trillion-parameter open models within one month.

Industry Coordinates & Source Verification

This report is categorized under AITOP's "Models" desk, focusing on China's AI industry and domestic foundation model ecosystem. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Qwen3.8, 阿里巴巴, 开源模型, 万亿参数.

Primary source verification: published directly by pandaily with first-party authority. Cross-source corroboration: 9 independent sources have covered this development (including The Rundown AI, IT之家, Geek), confirming industry-wide signal strength.

#Qwen3.8#阿里巴巴#开源模型#万亿参数#Fable 5

Keep reading

Recent stories with the same tag or section
ModelsBuildersMulti-sourceSelected01:08
Tencent Youtu releases Qwen3.8-27B-DSpine-b16 draft model

Draft-model engineering is quietly becoming a competitive lever: the gain comes from a better-matched draft model rather than the target model itself, so teams running Qwen3 27B can swap this in and roughly double effective throughput with no accuracy trade-off. Inference engineers and startups serving Qwen at scale should benchmark it against their current MTP setup, ideally on Hopper cards where FlashAttention 3 is available. Comparable accelerations typically require paid inference providers; this one is a free HuggingFace download.

#Tencent Youtu#Qwen3#speculative decoding#HuggingFace
Event
karminski-牙医 (AI工具)@karminski3Source
ModelsUS vs ChinaSelected01:50
Nanbeige4.3-33B open-weights model matches Qwen3.8 27B

A 33B model that runs locally on a laptop yet matches a top ~30B peer on reasoning shifts the practical floor for self-hosted agents, especially for terminal and automation workloads where it beats Qwen3.8 27B decisively. Builders choosing between open-weights models should weigh its higher token consumption and weaker knowledge and coding scores against its abstention behavior. With no confirmed public API, local deployment is currently the main route for users in any region.

#Nanbeige#Qwen#open-source models#reasoning models
Official accountArtificial Analysis@ArtificialAnlysSource