Qwen3.8-Flash-Next
Alibaba Cloud / Qwen TeamQwen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
70
general
60
coding
70
reasoning
77
science估算
60
agents
70
multimodal
缺少專門科學評測時,Science 由 LLM Stats 科學得分或推理能力估算。
排行榜排名
| 領域 | #排名 | 分數 | 來源 |
|---|---|---|---|
| 多模態榜 | 25 | 62.0 | LS |
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Agents
AndroidWorld
84.5%自報
CoWorkBench
73.9%自報
Toolathlon
73.5%自報
ClawEval-MM
60.4%自報
Job Bench
55.7%自報
Agents' Last Exam
51.2%自報
RecreationBench
49.9%自報
Code
Vision2Web
64.0%自報
DeepSWE 1.1
58.7%自報
NL2Repo
48.1%自報
Instruction Following
IFBench
81.3%自報
Math
MathVision
95.7%自報
Multimodal
OSWorld 2.0
19.4%自報
Reasoning
LiveCodeBench v6
91.9%自報
GPQANYU + Cohere + Anthropic (2023)
91.7%自報
CharXiv-R
90.6%自報
SWE-bench Multilingual
81.0%自報
SWE-Bench ProPrinceton NLP (2024)
62.5%自報
Humanity's Last Exam
35.9%自報
Vision
RealWorldQA
88.5%自報
LVBench
76.6%自報
ERQA
72.3%自報
AA 評測指數
(Artificial Analysis)暫無 AA 評測資料
LLM Stats 分類評分
(LLM Stats (zeroeval))Physics90
Biology90
Chemistry90
Instruction Following80
Long Context80
Spatial Reasoning80
Math70
Multimodal70
Reasoning70
General70
Vision70
Productivity60
Agents60
Code60
Tool Calling60
定價
暫無定價資料
速度
暫無速度資料
供應商價格排行
暫無提供商資料