跳轉到主要內容

Qwen3.8-Flash-Next

AlibabaQwen開源權重Qwen Community License 1.0 · 商用許可

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.

發布日期
2026-08-26
參數規模
125.0B
上下文長度
—
支援模態
—

能力雷達圖

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

排行榜排名

領域#排名分數來源
智慧體能力模型榜13
65.0
LS
程式碼能力榜37
90.0
AA
通用能力榜73
67.0
AA
數學推理43
86.0
LB
多模態榜36
60.0
LS
科學能力61
76.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Code

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

Instruction Following

IFBench81.3%自報

Math

MathVision95.7%自報

Multimodal

OSWorld 2.019.4%自報

Reasoning

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

Vision

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

AA 評測指數

(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 分類評分

(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

定價

輸入價格$0.15 / 1M tokens
輸出價格$0.47 / 1M tokens
混合價格(3:1)$0.23 / 1M tokens

速度

Tokens/秒53.1
首Token延遲1.22s
首回答延遲38.92s

供應商價格排行

供應商價格排行

1 個供應商

供應商輸入輸出
1Alibaba主要
$0.15
$0.47

比較該模型在不同 API 供應商之間的定價。

外部連結