Qwen3.5 122B A10B (Non-reasoning)

AlibabaQwenOpen WeightApache 2.0 · Commercial OK

描述

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.

發布日期

2026-02-24

參數規模

122.0B

上下文長度

262K

支援模態

image, text, video

能力雷達圖

general

coding

reasoning

science估算

agents

multimodal

Science 在缺少專門科學評測時使用推理能力代理估算。

排行榜排名

領域	#排名	分數	來源
智能体与工具	45	58.0	LS
代码能力榜	116	57.0	AA
通用能力榜	121	63.0	AA
多模态榜	61	70.0	LS
推理能力	53	68.0	LS
科学能力	108	59.0	AA

基準測試分數 (LLM Stats)

3d

SUNRGBD

0.36 / 100自報

Hypersim

0.13 / 100自報

Agents

t2-bench

79.5%自報

BFCL-V4

72.2%自報

AndroidWorld_SR

66.4%自報

BrowseComp

63.8%自報

FullStackBench en

62.6%自報

WideSearch

60.5%自報

FullStackBench zh

58.7%自報

OSWorld-Verified

58.0%自報

TIR-Bench

53.2%自報

Terminal-Bench 2.0

49.4%自報

VITA-Bench

33.6%自報

DeepPlanning

24.1%自報

Biology

GPQA

86.6%自報

Chemistry

SuperGPQA

67.1%自報

Code

SWE-Bench Verified

72.0%自報

Communication

Multi-Challenge

61.5%自報

Embodied

EmbSpatialBench

0.84 / 100自報

Finance

MMLU-Pro

86.7%自報

MMLU-ProX

82.2%自報

General

MMLU-Redux

94.0%自報

IFEval

93.4%自報

C-Eval

91.9%自報

Global PIQA

88.4%自報

MAXIFE

87.9%自報

MMMLU

86.7%自報

MMMU

83.9%自報

MMStar

82.9%自報

Include

82.8%自報

LiveCodeBench v6

78.9%自報

MMMU-Pro

76.9%自報

IFBench

76.1%自報

SimpleVQA

0.62 / 100自報

LongBench v2

60.2%自報

NOVA-63

58.6%自報

Grounding

RefCOCO-avg

0.91 / 100自報

ScreenSpot Pro

70.4%自報

RefSpatialBench

0.69 / 100自報

Healthcare

VideoMMMU

82.0%自報

SlakeVQA

81.6%自報

MedXpertQA

67.3%自報

PMC-VQA

63.3%自報

Image To Text

OCRBench

92.1%自報

Language

LingoQA

80.8%自報

WMT24++

78.3%自報

Long Context

MLVU

87.3%自報

LVBench

74.4%自報

AA-LCR

66.9%自報

MMLongBench-Doc

0.59 / 100自報

Math

HMMT 2025

91.4%自報

HMMT25

90.3%自報

MathVista-Mini

87.4%自報

MathVision

86.2%自報

DynaMath

85.9%自報

CodeForces

0.85 / 3000自報

PolyMATH

68.9%自報

Humanity's Last Exam

47.5%自報

Multimodal

VLMsAreBlind

96.7%自報

AI2D

93.3%自報

93.2%自報

MMBench-V1.1

92.8%自報

OmniDocBench 1.5

89.8%自報

VideoMME w sub.

87.3%自報

VideoMME w/o sub.

83.9%自報

CC-OCR

81.8%自報

CharXiv-R

77.2%自報

MVBench

76.6%自報

MMVU

74.7%自報

BabyVision

40.2%自報

ZEROBench-Sub

0.36 / 100自報

Nuscene

15.4%自報

ZEROBench

0.09 / 100自報

Reasoning

CountBench

0.97 / 100自報

BrowseComp-zh

69.9%自報

Hallusion Bench

67.6%自報

ERQA

62.0%自報

Seal-0

44.1%自報

OJBench

39.5%自報

Spatial Reasoning

RealWorldQA

85.1%自報

Vision

ODinW

44.5%自報

AA 評測指數

Intelligence Index

35.9

Coding Index

31.6

Tau2

0.8

Gpqa

0.8

Lcr

0.6

Ifbench

0.5

Scicode

0.4

Terminalbench Hard

0.3

Hle

0.1

LLM Stats 分類評分

Biology

Structured Output

Text-to-image

Video

Chemistry

Embodied

Finance

General

Grounding

Healthcare

Image To Text

Instruction Following

Language

Legal

Math

Physics

Spatial Reasoning

Vision

Economics

Frontend Development

Long Context

Multimodal

Reasoning

Tool Calling

Agents

Code

Communication

Spatial

定價

輸入價格$0.4 / 1M tokens

輸出價格$3.2 / 1M tokens

混合價格(3:1)$1.1 / 1M tokens

速度

Tokens/秒146.3 tokens/s

首Token延遲1.23s

首回答延遲1.23s

可用提供商

(LS 內部計價單位)

提供商	輸入價格	輸出價格
Novita	400K	3.2M

外部連結

LLM Stats