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Qwen3.5 27B (Reasoning)

AlibabaQwenОткрытые весаApache 2.0 · Коммерческое использование

Описание

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.

Дата выхода
2026-02-24
Параметры
27.0B
Длина контекста
262K
Модальности
audio, image, text, video

Радар способностей

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

Рейтинги

Домен#МестоОценкаИсточник
Агентные возможности105
38.0
LS
Рейтинг кодинга131
68.0
AA
Общий рейтинг92
73.0
AA
Мультимодальный рейтинг36
54.0
LS
Наука122
66.0
AA

Оценки бенчмарков (LLM Stats)

(LLM Stats (zeroeval))

3d

SUNRGBD0.35 / 100Сам.
Hypersim0.13 / 100Сам.

Agents

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

Biology

GPQANYU + Cohere + Anthropic (2023)85.5%Сам.

Chemistry

SuperGPQA65.6%Сам.

Code

SWE-Bench Verified72.4%Сам.

Communication

Multi-Challenge60.8%Сам.

Embodied

EmbSpatialBench0.84 / 100Сам.

Finance

MMLU-Pro86.1%Сам.
MMLU-ProX82.2%Сам.

General

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

Grounding

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

Healthcare

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

Image To Text

OCRBench89.4%Сам.

Language

LingoQA82.0%Сам.
WMT24++77.6%Сам.

Long Context

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

Math

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

Multimodal

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

Reasoning

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

Spatial Reasoning

RealWorldQA83.7%Сам.

Vision

ODinW41.1%Сам.

Индексы оценки AA

(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

Оценки категорий LLM Stats

(LLM Stats (zeroeval))
Instruction Following
90
Biology
90
Legal
80
Math
80
Physics
80
Structured Output
80
Image To Text
80
Language
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

Цены

Цена ввода$0.3 / 1M токенов
Цена вывода$2.4 / 1M токенов
Смешанная цена (3:1)$0.825 / 1M токенов

Скорость

Токенов/сек0.0
Задержка первого токена0.00s
Время до первого ответа0.00s

Рейтинг цен провайдеров

Рейтинг цен провайдеров

4 провайдеров

Самый дешевый: NovitaСамый дорогой: Alibaba
ПровайдерВводВывод
1NovitaСамый дешевый
$0
$0
2EmpirioLabs AI
$0.086
$0.688
3NanoGPT
$0.27
$2.16
4AlibabaОсновной
$0.3
$2.4

Сравнение цен разных API-провайдеров для этой модели.

Внешние ссылки

LLM StatsArtificial Analysis