Qwen3.6 35B A3B (Reasoning)
AlibabaQwen오픈 웨이트Apache 2.0 · 상업적 사용 가능
설명
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.
출시일
2026-04-16
파라미터
35.0B
컨텍스트 길이
262K
모달리티
audio, image, text, video
능력 레이더
30
general
41
coding
84
reasoning
55
science
50
agents
80
multimodal
랭킹
벤치마크 점수 (LLM Stats)
(LLM Stats (zeroeval))Agents
TAU3-Bench
67.2%자체 보고
MCP Atlas
62.8%자체 보고
WideSearch
60.1%자체 보고
ZClawBench
52.6%자체 보고
Terminal-Bench 2.0Stanford × Laude Institute (2026)
51.5%자체 보고
Claw-Eval
50.0%자체 보고
SWE-Bench ProPrinceton NLP (2024)
49.5%자체 보고
MCP-Mark
37.0%자체 보고
VITA-Bench
35.6%자체 보고
NL2Repo
29.4%자체 보고
SkillsBench
28.7%자체 보고
Toolathlon
26.9%자체 보고
DeepPlanning
25.9%자체 보고
Biology
GPQANYU + Cohere + Anthropic (2023)
86.0%자체 보고
Chemistry
SuperGPQA
64.7%자체 보고
Code
SWE-Bench Verified
73.4%자체 보고
SWE-bench Multilingual
67.2%자체 보고
Embodied
EmbSpatialBench
0.84 / 100자체 보고
Finance
MMLU-Pro
85.2%자체 보고
General
MMLU-Redux
93.3%자체 보고
C-Eval
90.0%자체 보고
MMMU
81.7%자체 보고
LiveCodeBench v6
80.4%자체 보고
MMMU-Pro
75.3%자체 보고
SimpleVQA
0.59 / 100자체 보고
Grounding
RefCOCO-avg
0.92 / 100자체 보고
RefSpatialBench
0.64 / 100자체 보고
Healthcare
VideoMMMU
83.7%자체 보고
Long Context
MLVU
86.2%자체 보고
LVBench
71.4%자체 보고
Math
AIME 2026
92.7%자체 보고
HMMT 2025
90.7%자체 보고
HMMT25
89.1%자체 보고
MathVista-Mini
86.4%자체 보고
HMMT Feb 26
83.6%자체 보고
IMO-AnswerBench
78.9%자체 보고
Humanity's Last Exam
21.4%자체 보고
Multimodal
MMBench-V1.1
92.8%자체 보고
AI2D
92.7%자체 보고
OmniDocBench 1.5
89.9%자체 보고
VideoMME w sub.
86.6%자체 보고
VideoMME w/o sub.
82.5%자체 보고
CC-OCR
81.9%자체 보고
CharXiv-R
78.0%자체 보고
MVBench
74.6%자체 보고
ZEROBench-Sub
0.34 / 100자체 보고
Reasoning
Hallusion Bench
69.8%자체 보고
Spatial Reasoning
RealWorldQA
85.3%자체 보고
Vision
ODinW
50.8%자체 보고
AA 평가 지수
(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 카테고리 점수
(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
가격
입력 가격$0.375 / 1M 토큰
출력 가격$2.25 / 1M 토큰
혼합 가격 (3:1)$0.844 / 1M 토큰
속도
토큰/초163.5
첫 토큰 지연1.28s
첫 응답 지연34.29s
공급자 가격 순위
공급자 가격 순위
8개 공급자
최저가: EmpirioLabs AI최고가: GreenPT
공급자입력출력
1EmpirioLabs AI최저가
$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
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