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Qwen3.5 122B A10B (Non-reasoning)

AlibabaQwenОткрытые весаApache 2.0 · Коммерческое использование

Описание

Qwen3.5-122B-A10B is a multimodal Mixture-of-Experts model with 122 billion total parameters and 10 billion activated parameters. It combines strong reasoning, coding, long-context, and visual understanding performance with production-friendly efficiency and a native 262K context window.

Дата выхода
2026-02-24
Параметры
122.0B
Длина контекста
262K
Модальности
audio, image, text, video

Радар способностей

26
general
42
coding
83
reasoning
53
science
60
agents
80
multimodal

Рейтинги

Оценки бенчмарков (LLM Stats)

(LLM Stats (zeroeval))

3d

SUNRGBD0.36 / 100Сам.
Hypersim0.13 / 100Сам.

Agents

t2-bench79.5%Сам.
BFCL-V472.2%Сам.
AndroidWorld_SR66.4%Сам.
BrowseCompOpenAI (2025)63.8%Сам.
FullStackBench en62.6%Сам.
WideSearch60.5%Сам.
FullStackBench zh58.7%Сам.
OSWorld-Verified58.0%Сам.
TIR-Bench53.2%Сам.
Terminal-Bench 2.0Stanford × Laude Institute (2026)49.4%Сам.
VITA-Bench33.6%Сам.
DeepPlanning24.1%Сам.

Biology

GPQANYU + Cohere + Anthropic (2023)86.6%Сам.

Chemistry

SuperGPQA67.1%Сам.

Code

SWE-Bench Verified72.0%Сам.

Communication

Multi-Challenge61.5%Сам.

Embodied

EmbSpatialBench0.84 / 100Сам.

Finance

MMLU-Pro86.7%Сам.
MMLU-ProX82.2%Сам.

General

MMLU-Redux94.0%Сам.
IFEvalGoogle Research (2023)93.4%Сам.
C-Eval91.9%Сам.
Global PIQA88.4%Сам.
MAXIFE87.9%Сам.
MMMLU86.7%Сам.
MMMU83.9%Сам.
MMStar82.9%Сам.
Include82.8%Сам.
LiveCodeBench v678.9%Сам.
MMMU-Pro76.9%Сам.
IFBench76.1%Сам.
SimpleVQA0.62 / 100Сам.
LongBench v260.2%Сам.
NOVA-6358.6%Сам.

Grounding

RefCOCO-avg0.91 / 100Сам.
ScreenSpot Pro70.4%Сам.
RefSpatialBench0.69 / 100Сам.

Healthcare

VideoMMMU82.0%Сам.
SlakeVQA81.6%Сам.
MedXpertQA67.3%Сам.
PMC-VQA63.3%Сам.

Image To Text

OCRBench92.1%Сам.

Language

LingoQA80.8%Сам.
WMT24++78.3%Сам.

Long Context

MLVU87.3%Сам.
LVBench74.4%Сам.
AA-LCR66.9%Сам.
MMLongBench-Doc0.59 / 100Сам.

Math

HMMT 202591.4%Сам.
HMMT2590.3%Сам.
MathVista-Mini87.4%Сам.
MathVision86.2%Сам.
DynaMath85.9%Сам.
CodeForces0.85 / 3000Сам.
PolyMATH68.9%Сам.
Humanity's Last Exam47.5%Сам.

Multimodal

VLMsAreBlind96.7%Сам.
AI2D93.3%Сам.
V*93.2%Сам.
MMBench-V1.192.8%Сам.
OmniDocBench 1.589.8%Сам.
VideoMME w sub.87.3%Сам.
VideoMME w/o sub.83.9%Сам.
CC-OCR81.8%Сам.
CharXiv-R77.2%Сам.
MVBench76.6%Сам.
MMVU74.7%Сам.
BabyVision40.2%Сам.
ZEROBench-Sub0.36 / 100Сам.
Nuscene15.4%Сам.
ZEROBench0.09 / 100Сам.

Reasoning

CountBench0.97 / 100Сам.
BrowseComp-zh69.9%Сам.
Hallusion Bench67.6%Сам.
ERQA62.0%Сам.
Seal-044.1%Сам.
OJBench39.5%Сам.

Spatial Reasoning

RealWorldQA85.1%Сам.

Vision

ODinW44.5%Сам.

Индексы оценки AA

(Artificial Analysis)
Coding Index(Artificial Analysis)
43.3
Intelligence Index(Artificial Analysis)
28.2
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.8
Lcr(Artificial Analysis)
0.6
Ifbench(Google Research (2023))
0.5
Terminalbench V2 1
0.5
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 Banking
0.1

Оценки категорий LLM Stats

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

Цены

Цена ввода$0.4 / 1M токенов
Цена вывода$3.2 / 1M токенов
Смешанная цена (3:1)$1.1 / 1M токенов

Скорость

Токенов/сек151.3
Задержка первого токена1.05s
Время до первого ответа1.05s

Рейтинг цен провайдеров

Рейтинг цен провайдеров

3 провайдеров

Самый дешевый: AlibabaСамый дорогой: Cortecs
ПровайдерВводВывод
1AlibabaОсновной
$0.4
$3.2
2NanoGPT
$0.437
$3.496
3Cortecs
$0.495
$3.46

Сравнение цен разных API-провайдеров для этой модели.

Внешние ссылки