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Qwen3.8-Flash-Next

Alibaba Cloud / Qwen TeamQwen开源权重Qwen Community License 1.0 · 商用许可

描述

Qwen3.8-Flash-Next is an open-weight experimental preview of the architecture planned for Qwen4, with Hybrid Attention (QSA), Gated Residual, and N-gram Embedding. The card reports 125B parameters with 6B activated, plus 51B n-gram embedding and 4B MTP; Hugging Face BF16 safetensors total 179,999,981,424 parameters (~180B stored). It is a causal LM with a vision encoder for text, image, and video, a native 262,144-token context extensible to 1,000,000 tokens, and thinking on by default (enable_thinking, preserve_thinking, reasoning_effort). This catalog entry is the open-weight checkpoint, not the separate production Qwen3.8-Flash API on Qwen Cloud.

发布日期
2026-08-26
参数规模
125.0B
上下文长度
支持模态

能力雷达图

70
general
60
coding
70
reasoning
77
science估算
60
agents
70
multimodal

缺少专门科学评测时,Science 由 LLM Stats 科学得分或推理能力估算。

排行榜排名

领域#排名分数来源
多模态榜25
62.0
LS

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

AndroidWorld84.5%自报
CoWorkBench73.9%自报
Toolathlon73.5%自报
ClawEval-MM60.4%自报
Job Bench55.7%自报
Agents' Last Exam51.2%自报
RecreationBench49.9%自报

Code

Vision2Web64.0%自报
DeepSWE 1.158.7%自报
NL2Repo48.1%自报

Instruction Following

IFBench81.3%自报

Math

MathVision95.7%自报

Multimodal

OSWorld 2.019.4%自报

Reasoning

LiveCodeBench v691.9%自报
GPQANYU + Cohere + Anthropic (2023)91.7%自报
CharXiv-R90.6%自报
SWE-bench Multilingual81.0%自报
SWE-Bench ProPrinceton NLP (2024)62.5%自报
Humanity's Last Exam35.9%自报

Vision

RealWorldQA88.5%自报
LVBench76.6%自报
ERQA72.3%自报

AA 评测指数

(Artificial Analysis)

暂无 AA 评测数据

LLM Stats 分类评分

(LLM Stats (zeroeval))
Physics
90
Biology
90
Chemistry
90
Instruction Following
80
Long Context
80
Spatial Reasoning
80
Math
70
Multimodal
70
Reasoning
70
General
70
Vision
70
Productivity
60
Agents
60
Code
60
Tool Calling
60

定价

暂无定价数据

速度

暂无速度数据

供应商价格排行

暂无提供商数据

外部链接