Qwen3.6 35B A3B (Reasoning)
AlibabaQwen开源权重Apache 2.0 · 商用许可
描述
Qwen3.6-35B-A3B is the first open-weight variant of the Qwen3.6 series, a multimodal Mixture-of-Experts model with 35B total parameters and 3B activated. It pairs a vision encoder with a hybrid 40-layer language model that interleaves Gated DeltaNet linear-attention blocks and Gated Attention blocks (10 × (3 × DeltaNet + 1 × Attention)) over 256 experts (8 routed + 1 shared, expert dim 512). The release prioritizes stability and real-world utility, with substantial gains in agentic coding (frontend workflows, repo-level reasoning) and a new option to preserve reasoning context across turns. Native context length is 262K tokens, extensible to ~1M via YaRN, and the model thinks by default.
发布日期
2026-04-16
参数规模
35.0B
上下文长度
262K
支持模态
audio, image, text, video
能力雷达图
30
general
41
coding
84
reasoning
55
science
50
agents
80
multimodal
排行榜排名
基准测试分数 (LLM Stats)
(LLM Stats (zeroeval))Agents
TAU3-Bench
67.2%自报
MCP Atlas
62.8%自报
WideSearch
60.1%自报
ZClawBench
52.6%自报
Terminal-Bench 2.0Stanford × Laude Institute (2026)
51.5%自报
Claw-Eval
50.0%自报
SWE-Bench ProPrinceton NLP (2024)
49.5%自报
MCP-Mark
37.0%自报
VITA-Bench
35.6%自报
NL2Repo
29.4%自报
SkillsBench
28.7%自报
Toolathlon
26.9%自报
DeepPlanning
25.9%自报
Biology
GPQANYU + Cohere + Anthropic (2023)
86.0%自报
Chemistry
SuperGPQA
64.7%自报
Code
SWE-Bench Verified
73.4%自报
SWE-bench Multilingual
67.2%自报
Embodied
EmbSpatialBench
0.84 / 100自报
Finance
MMLU-Pro
85.2%自报
General
MMLU-Redux
93.3%自报
C-Eval
90.0%自报
MMMU
81.7%自报
LiveCodeBench v6
80.4%自报
MMMU-Pro
75.3%自报
SimpleVQA
0.59 / 100自报
Grounding
RefCOCO-avg
0.92 / 100自报
RefSpatialBench
0.64 / 100自报
Healthcare
VideoMMMU
83.7%自报
Long Context
MLVU
86.2%自报
LVBench
71.4%自报
Math
AIME 2026
92.7%自报
HMMT 2025
90.7%自报
HMMT25
89.1%自报
MathVista-Mini
86.4%自报
HMMT Feb 26
83.6%自报
IMO-AnswerBench
78.9%自报
Humanity's Last Exam
21.4%自报
Multimodal
MMBench-V1.1
92.8%自报
AI2D
92.7%自报
OmniDocBench 1.5
89.9%自报
VideoMME w sub.
86.6%自报
VideoMME w/o sub.
82.5%自报
CC-OCR
81.9%自报
CharXiv-R
78.0%自报
MVBench
74.6%自报
ZEROBench-Sub
0.34 / 100自报
Reasoning
Hallusion Bench
69.8%自报
Spatial Reasoning
RealWorldQA
85.3%自报
Vision
ODinW
50.8%自报
AA 评测指数
(Artificial Analysis)Coding Index(Artificial Analysis)41.9
Intelligence Index(Artificial Analysis)32.1
Tau2(Sierra + U Toronto + Vector Institute (2025))1.0
Gpqa(NYU + Cohere + Anthropic (2023))0.8
Lcr(Artificial Analysis)0.7
Ifbench(Google Research (2023))0.6
Terminalbench V2 10.4
Scicode(UIUC + Argonne National Lab (2024))0.4
Terminalbench Hard(Stanford × Laude Institute (2026))0.3
Hle(Center for AI Safety + Scale AI (2025))0.2
Tau Banking0.1
LLM Stats 分类评分
(LLM Stats (zeroeval))Structured Output90
Language90
Biology90
Long Context80
Math80
Multimodal80
Physics80
Spatial Reasoning80
Embodied80
Grounding80
Healthcare80
Chemistry80
Text-to-image80
Video80
Legal70
Reasoning70
Finance70
Frontend Development70
General70
Vision70
Search60
Image To Text60
Economics60
Code50
Tool Calling50
Agents40
定价
输入价格$0.375 / 1M tokens
输出价格$2.25 / 1M tokens
混合价格(3:1)$0.844 / 1M tokens
速度
Tokens/秒152.3
首Token延迟1.27s
首回答延迟36.69s
供应商价格排行
供应商价格排行
8 个供应商
最便宜: EmpirioLabs AI最贵: GreenPT
供应商输入输出
1EmpirioLabs AI最便宜
$0.07
$0.42
2SaladCloud AI Gateway
$0.09
$0.6
3Venice AI
$0.1
$1
4Cortecs
$0.167
$0.557
5Alibaba
$0.248
$1.485
6LLM Gateway
$0.248
$1.485
7Scaleway
$0.25
$1.5
8GreenPT
$0.342
$2.052
比较该模型在不同 API 供应商之间的定价。