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Qwen3.5 27B (Reasoning)

AlibabaQwenओपन वेटApache 2.0 · व्यावसायिक उपयोग

विवरण

Qwen3.5-27B is a multimodal dense foundation model with 27 billion parameters. It combines strong reasoning, coding, multilingual, long-context, and visual understanding performance in a production-friendly open-weight package with a native 262K context window.

रिलीज़ तिथि
2026-02-24
पैरामीटर
27.0B
संदर्भ लंबाई
262K
मोडैलिटीज़
audio, image, text, video

क्षमता रडार

32
general
40
coding
86
reasoning
57
science
60
agents
80
multimodal

रैंकिंग

डोमेन#रैंकस्कोरस्रोत
एजेंटिक क्षमता102
38.0
LS
कोडिंग रैंकिंग123
68.0
AA
सामान्य रैंकिंग86
73.0
AA
मल्टीमॉडल रैंकिंग36
53.0
LS
विज्ञान115
66.0
AA

बेंचमार्क स्कोर (LLM Stats)

(LLM Stats (zeroeval))

3d

SUNRGBD0.35 / 100स्वयं
Hypersim0.13 / 100स्वयं

Agents

t2-bench79.0%स्वयं
BFCL-V468.5%स्वयं
AndroidWorld_SR64.2%स्वयं
WideSearch61.1%स्वयं
BrowseCompOpenAI (2025)61.0%स्वयं
FullStackBench en60.1%स्वयं
TIR-Bench59.8%स्वयं
FullStackBench zh57.4%स्वयं
OSWorld-Verified56.2%स्वयं
VITA-Bench41.9%स्वयं
Terminal-Bench 2.0Stanford × Laude Institute (2026)41.6%स्वयं
DeepPlanning22.6%स्वयं

Biology

GPQANYU + Cohere + Anthropic (2023)85.5%स्वयं

Chemistry

SuperGPQA65.6%स्वयं

Code

SWE-Bench Verified72.4%स्वयं

Communication

Multi-Challenge60.8%स्वयं

Embodied

EmbSpatialBench0.84 / 100स्वयं

Finance

MMLU-Pro86.1%स्वयं
MMLU-ProX82.2%स्वयं

General

IFEvalGoogle Research (2023)95.0%स्वयं
MMLU-Redux93.2%स्वयं
C-Eval90.5%स्वयं
MAXIFE88.0%स्वयं
Global PIQA87.5%स्वयं
MMMLU85.9%स्वयं
MMMU82.3%स्वयं
Include81.6%स्वयं
MMStar81.0%स्वयं
LiveCodeBench v680.7%स्वयं
IFBench76.5%स्वयं
MMMU-Pro75.0%स्वयं
LongBench v260.6%स्वयं
NOVA-6358.1%स्वयं
SimpleVQA0.56 / 100स्वयं

Grounding

RefCOCO-avg0.91 / 100स्वयं
ScreenSpot Pro70.3%स्वयं
RefSpatialBench0.68 / 100स्वयं

Healthcare

VideoMMMU82.3%स्वयं
SlakeVQA80.0%स्वयं
MedXpertQA62.4%स्वयं
PMC-VQA62.4%स्वयं

Image To Text

OCRBench89.4%स्वयं

Language

LingoQA82.0%स्वयं
WMT24++77.6%स्वयं

Long Context

MLVU85.9%स्वयं
LVBench73.6%स्वयं
AA-LCR66.1%स्वयं
MMLongBench-Doc0.60 / 100स्वयं

Math

HMMT 202592.0%स्वयं
HMMT2589.8%स्वयं
MathVista-Mini87.8%स्वयं
DynaMath87.7%स्वयं
MathVision86.0%स्वयं
CodeForces0.81 / 3000स्वयं
PolyMATH71.2%स्वयं
Humanity's Last Exam48.5%स्वयं

Multimodal

VLMsAreBlind96.9%स्वयं
V*93.7%स्वयं
AI2D92.9%स्वयं
MMBench-V1.192.6%स्वयं
OmniDocBench 1.588.9%स्वयं
VideoMME w sub.87.0%स्वयं
VideoMME w/o sub.82.8%स्वयं
CC-OCR81.0%स्वयं
CharXiv-R79.5%स्वयं
MVBench74.6%स्वयं
MMVU73.3%स्वयं
BabyVision44.6%स्वयं
ZEROBench-Sub0.36 / 100स्वयं
Nuscene15.2%स्वयं
ZEROBench0.10 / 100स्वयं

Reasoning

CountBench0.98 / 100स्वयं
Hallusion Bench70.0%स्वयं
BrowseComp-zh62.1%स्वयं
ERQA60.5%स्वयं
Seal-047.2%स्वयं
OJBench40.1%स्वयं

Spatial Reasoning

RealWorldQA83.7%स्वयं

Vision

ODinW41.1%स्वयं

AA मूल्यांकन सूचकांक

(Artificial Analysis)
Intelligence Index(Artificial Analysis)
34.6
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.9
Gpqa(NYU + Cohere + Anthropic (2023))
0.9
Ifbench(Google Research (2023))
0.8
Lcr(Artificial Analysis)
0.7
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

LLM Stats श्रेणी स्कोर

(LLM Stats (zeroeval))
Instruction Following
90
Biology
90
Image To Text
80
Language
80
Legal
80
Math
80
Physics
80
Structured Output
80
Embodied
80
Finance
80
Grounding
80
Chemistry
80
Text-to-image
80
Video
80
Long Context
70
Multimodal
70
Reasoning
70
Spatial Reasoning
70
Frontend Development
70
General
70
Healthcare
70
Economics
70
Vision
70
Search
60
Agents
60
Code
60
Communication
60
Tool Calling
60
Spatial
20
3d
20

मूल्य निर्धारण

इनपुट मूल्य$0.3 / 1M टोकन
आउटपुट मूल्य$2.4 / 1M टोकन
मिश्रित मूल्य (3:1)$0.825 / 1M टोकन

गति

टोकन/सेकंड0.0
पहले टोकन में देरी0.00s
पहले उत्तर में देरी0.00s

प्रदाता मूल्य रैंकिंग

प्रदाता मूल्य रैंकिंग

3 प्रदाता

सबसे सस्ता: Novitaसबसे महंगा: Alibaba
प्रदाताइनपुटआउटपुट
1Novitaसबसे सस्ता
$0
$0
2EmpirioLabs AI
$0.086
$0.688
3Alibabaप्राथमिक
$0.3
$2.4

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

बाहरी लिंक

LLM StatsArtificial Analysis