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Qwen3.6 35B A3B (Reasoning)

AlibabaQwenओपन वेटApache 2.0 · व्यावसायिक उपयोग

विवरण

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.

रिलीज़ तिथि
2026-04-16
पैरामीटर
35.0B
संदर्भ लंबाई
262K
मोडैलिटीज़
audio, image, text, video

क्षमता रडार

19
general
41
coding
84
reasoning
55
science
50
agents
80
multimodal

रैंकिंग

बेंचमार्क स्कोर (LLM Stats)

(LLM Stats (zeroeval))

Agents

TAU3-Bench67.2%स्वयं
MCP-Mark37.0%स्वयं
VITA-Bench35.6%स्वयं
Toolathlon26.9%स्वयं
DeepPlanning25.9%स्वयं

Code

ZClawBench52.6%स्वयं
Claw-Eval50.0%स्वयं
NL2Repo29.4%स्वयं
SkillsBench28.7%स्वयं

General

C-Eval90.0%स्वयं

Language

MMLU-Redux93.3%स्वयं
MMLU-Pro85.2%स्वयं

Math

AIME 202692.7%स्वयं
HMMT 202590.7%स्वयं
HMMT2589.1%स्वयं
MathVista-Mini86.4%स्वयं
HMMT Feb 2683.6%स्वयं
IMO-AnswerBench78.9%स्वयं

Multimodal

VideoMMMU83.7%स्वयं
VideoMME w/o sub.82.5%स्वयं
MMMU81.7%स्वयं

Reasoning

GPQANYU + Cohere + Anthropic (2023)86.0%स्वयं
LiveCodeBench v680.4%स्वयं
CharXiv-R78.0%स्वयं
SWE-Bench Verified73.4%स्वयं
SWE-bench Multilingual67.2%स्वयं
SuperGPQA64.7%स्वयं
MCP Atlas62.8%स्वयं
Terminal-Bench 2.0Stanford × Laude Institute (2026)51.5%स्वयं
SWE-Bench ProPrinceton NLP (2024)49.5%स्वयं
Humanity's Last Exam21.4%स्वयं

Search

WideSearch60.1%स्वयं

Video

MLVU86.2%स्वयं

Vision

MMBench-V1.192.8%स्वयं
AI2D92.7%स्वयं
RefCOCO-avg0.92 / 100स्वयं
OmniDocBench 1.589.9%स्वयं
VideoMME w sub.86.6%स्वयं
RealWorldQA85.3%स्वयं
EmbSpatialBench0.84 / 100स्वयं
CC-OCR81.9%स्वयं
MMMU-Pro75.3%स्वयं
MVBench74.6%स्वयं
LVBench71.4%स्वयं
Hallusion Bench69.8%स्वयं
RefSpatialBench0.64 / 100स्वयं
SimpleVQA0.59 / 100स्वयं
ODinW50.8%स्वयं
ZEROBench-Sub0.34 / 100स्वयं

AA मूल्यांकन सूचकांक

(Artificial Analysis)
Tau2(Sierra + U Toronto + Vector Institute (2025))
95.3
Gpqa(NYU + Cohere + Anthropic (2023))
84.1
Lcr(Artificial Analysis)
71.7
Ifbench(Google Research (2023))
64.4
Terminalbench V2 1
44.9
Coding Index(Artificial Analysis)
41.9
Scicode(UIUC + Argonne National Lab (2024))
36.6
Terminalbench Hard(Stanford × Laude Institute (2026))
34.8
Hle(Center for AI Safety + Scale AI (2025))
22.2
Intelligence Index(Artificial Analysis)
18.2
Tau Banking
9.3
Terminalbench V4 0
0.0

LLM Stats श्रेणी स्कोर

(LLM Stats (zeroeval))
Language
90
Structured Output
90
Biology
90
Long Context
80
Math
80
Multimodal
80
Physics
80
Spatial Reasoning
80
Embodied
80
Grounding
80
Healthcare
80
Chemistry
80
Text-to-image
80
Video
80
Legal
70
Reasoning
70
Finance
70
Frontend Development
70
General
70
Vision
70
Image To Text
60
Search
60
Economics
60
Code
50
Tool Calling
50
Agents
40

मूल्य निर्धारण

इनपुट मूल्य$0.375 / 1M टोकन
आउटपुट मूल्य$2.25 / 1M टोकन
मिश्रित मूल्य (3:1)$0.844 / 1M टोकन

गति

टोकन/सेकंड138.8
पहले टोकन में देरी1.14s
पहले उत्तर में देरी40.01s

प्रदाता मूल्य रैंकिंग

प्रदाता मूल्य रैंकिंग

4 प्रदाता

सबसे सस्ता: DeepInfraसबसे महंगा: Alibaba
प्रदाताइनपुटआउटपुट
1DeepInfraसबसे सस्ता
$0
$0
2EmpirioLabs AI
$0.07
$0.42
3Venice AI
$0.1
$1
4Alibabaप्राथमिक
$0.375
$2.25

इस मॉडल के लिए विभिन्न API प्रदाताओं के मूल्य निर्धारण की तुलना करें।

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