跳转到主要内容

Qwen3.8-Flash-Next

AlibabaQwen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

39
general
70
coding
92
reasoning
67
science
60
agents
70
multimodal

排行榜排名

领域#排名分数来源
智能体能力模型榜13
65.0
LS
代码能力榜36
90.0
AA
通用能力榜72
67.0
AA
数学推理43
86.0
LB
多模态榜36
60.0
LS
科学能力60
76.0
AA

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)
Gpqa(NYU + Cohere + Anthropic (2023))
92.3
Terminalbench V2 1
86.1
Lcr(Artificial Analysis)
79.7
Coding Index(Artificial Analysis)
73.1
Scicode(UIUC + Argonne National Lab (2024))
50.6
Tau Banking
45.4
Intelligence Index(Artificial Analysis)
39.8
Hle(Center for AI Safety + Scale AI (2025))
38.0
Terminalbench V4 0
25.3

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

输入价格$0.15 / 1M tokens
输出价格$0.47 / 1M tokens
混合价格(3:1)$0.23 / 1M tokens

速度

Tokens/秒53.1
首Token延迟1.17s
首回答延迟38.86s

供应商价格排行

供应商价格排行

1 个供应商

供应商输入输出
1Alibaba主要
$0.15
$0.47

比较该模型在不同 API 供应商之间的定价。

外部链接