Qwen3.5 35B A3B (Non-reasoning)

AlibabaQwenOpen WeightApache 2.0 · Commercial OK

描述

Qwen3.5-35B-A3B is a multimodal Mixture-of-Experts model with 35 billion total parameters and 3 billion activated parameters. It combines strong reasoning, coding, agentic, 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

35.0B

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	53	56.0	LS
代码能力榜	227	37.0	AA
通用能力榜	157	57.0	AA
多模态榜	62	69.0	LS
推理能力	52	68.0	LS
科学能力	144	54.0	AA

基準測試分數 (LLM Stats)

3d

SUNRGBD

0.33 / 100自報

Hypersim

0.13 / 100自報

Agents

t2-bench

81.2%自報

AndroidWorld_SR

71.1%自報

BFCL-V4

67.3%自報

BrowseComp

61.0%自報

FullStackBench en

58.1%自報

WideSearch

57.1%自報

TIR-Bench

55.5%自報

FullStackBench zh

55.0%自報

OSWorld-Verified

54.5%自報

Terminal-Bench 2.0

40.5%自報

VITA-Bench

31.9%自報

DeepPlanning

22.8%自報

Biology

GPQA

84.2%自報

Chemistry

SuperGPQA

63.4%自報

Code

SWE-Bench Verified

69.2%自報

Communication

Multi-Challenge

60.0%自報

Embodied

EmbSpatialBench

0.83 / 100自報

Finance

MMLU-Pro

85.3%自報

MMLU-ProX

81.0%自報

General

MMLU-Redux

93.3%自報

IFEval

91.9%自報

C-Eval

90.2%自報

MAXIFE

86.6%自報

Global PIQA

86.6%自報

MMMLU

85.2%自報

MMStar

81.9%自報

MMMU

81.4%自報

Include

79.7%自報

MMMU-Pro

75.1%自報

LiveCodeBench v6

74.6%自報

IFBench

70.2%自報

LongBench v2

59.0%自報

SimpleVQA

0.58 / 100自報

NOVA-63

57.1%自報

Grounding

RefCOCO-avg

0.89 / 100自報

ScreenSpot Pro

68.6%自報

RefSpatialBench

0.64 / 100自報

Healthcare

VideoMMMU

80.4%自報

SlakeVQA

78.7%自報

PMC-VQA

62.0%自報

MedXpertQA

61.4%自報

Image To Text

OCRBench

91.0%自報

Language

LingoQA

79.2%自報

WMT24++

76.3%自報

Long Context

MLVU

85.6%自報

LVBench

71.4%自報

MMLongBench-Doc

0.59 / 100自報

AA-LCR

58.5%自報

Math

HMMT25

89.2%自報

HMMT 2025

89.0%自報

MathVista-Mini

86.2%自報

DynaMath

85.0%自報

MathVision

83.9%自報

CodeForces

0.82 / 3000自報

PolyMATH

64.4%自報

Humanity's Last Exam

47.4%自報

Multimodal

VLMsAreBlind

97.0%自報

92.7%自報

AI2D

92.6%自報

MMBench-V1.1

91.5%自報

OmniDocBench 1.5

89.3%自報

VideoMME w sub.

86.6%自報

VideoMME w/o sub.

82.5%自報

CC-OCR

80.7%自報

CharXiv-R

77.5%自報

MVBench

74.8%自報

MMVU

72.3%自報

BabyVision

38.4%自報

ZEROBench-Sub

0.34 / 100自報

Nuscene

14.6%自報

ZEROBench

0.08 / 100自報

Reasoning

CountBench

0.98 / 100自報

BrowseComp-zh

69.5%自報

Hallusion Bench

67.9%自報

ERQA

64.8%自報

Seal-0

41.4%自報

OJBench

36.0%自報

Spatial Reasoning

RealWorldQA

84.1%自報

Vision

ODinW

42.6%自報

AA 評測指數

Intelligence Index

30.7

Coding Index

16.8

Tau2

0.9

Gpqa

0.8

Lcr

0.6

Ifbench

0.4

Scicode

0.3

Hle

0.1

Terminalbench Hard

0.1

LLM Stats 分類評分

Structured Output

Text-to-image

Video

Biology

Embodied

Finance

General

Image To Text

Instruction Following

Language

Legal

Math

Physics

Spatial Reasoning

Vision

Chemistry

Frontend Development

Grounding

Healthcare

Long Context

Multimodal

Reasoning

Tool Calling

Code

Communication

Economics

Agents

Spatial

定價

輸入價格$0.25 / 1M tokens

輸出價格$2 / 1M tokens

混合價格(3:1)$0.688 / 1M tokens

速度

Tokens/秒138.7 tokens/s

首Token延遲1.15s

首回答延遲1.15s

可用提供商

(LS 內部計價單位)

提供商	輸入價格	輸出價格
Novita	250K	2.0M

外部連結

LLM Stats