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
AndroidWorld
84.5%自报
CoWorkBench
73.9%自报
Toolathlon
73.5%自报
ClawEval-MM
60.4%自报
Job Bench
55.7%自报
Agents' Last Exam
51.2%自报
RecreationBench
49.9%自报
Code
Vision2Web
64.0%自报
DeepSWE 1.1
58.7%自报
NL2Repo
48.1%自报
Instruction Following
IFBench
81.3%自报
Math
MathVision
95.7%自报
Multimodal
OSWorld 2.0
19.4%自报
Reasoning
LiveCodeBench v6
91.9%自报
GPQANYU + Cohere + Anthropic (2023)
91.7%自报
CharXiv-R
90.6%自报
SWE-bench Multilingual
81.0%自报
SWE-Bench ProPrinceton NLP (2024)
62.5%自报
Humanity's Last Exam
35.9%自报
Vision
RealWorldQA
88.5%自报
LVBench
76.6%自报
ERQA
72.3%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))Physics90
Biology90
Chemistry90
Instruction Following80
Long Context80
Spatial Reasoning80
Math70
Multimodal70
Reasoning70
General70
Vision70
Productivity60
Agents60
Code60
Tool Calling60
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