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
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)Gpqa(NYU + Cohere + Anthropic (2023))92.3
Terminalbench V2 186.1
Lcr(Artificial Analysis)79.7
Coding Index(Artificial Analysis)73.1
Scicode(UIUC + Argonne National Lab (2024))50.6
Tau Banking45.4
Intelligence Index(Artificial Analysis)39.8
Hle(Center for AI Safety + Scale AI (2025))38.0
Terminalbench V4 025.3
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
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。