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Qwen3.6 35B A3B (Reasoning)

AlibabaQwen開源權重Apache 2.0 · 商用許可

描述

Qwen3.6-35B-A3B is the first open-weight variant of the Qwen3.6 series, a multimodal Mixture-of-Experts model with 35B total parameters and 3B activated. It pairs a vision encoder with a hybrid 40-layer language model that interleaves Gated DeltaNet linear-attention blocks and Gated Attention blocks (10 × (3 × DeltaNet + 1 × Attention)) over 256 experts (8 routed + 1 shared, expert dim 512). The release prioritizes stability and real-world utility, with substantial gains in agentic coding (frontend workflows, repo-level reasoning) and a new option to preserve reasoning context across turns. Native context length is 262K tokens, extensible to ~1M via YaRN, and the model thinks by default.

發布日期
2026-04-16
參數規模
35.0B
上下文長度
262K
支援模態
audio, image, text, video

能力雷達圖

29
general
41
coding
84
reasoning
54
science估算
50
agents
80
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
智慧體能力模型榜97
45.0
LS
程式碼能力榜120
62.0
AA
通用能力榜87
68.0
AA
多模態榜35
79.0
LS
推理能力47
70.0
LS
科學能力104
61.0
AA

基準測試分數 (LLM Stats)

Agents

GDPval-AA1056.00 / 3000自報
TAU3-Bench67.2%自報
MCP Atlas62.8%自報
WideSearch60.1%自報
ZClawBench52.6%自報
Terminal-Bench 2.051.5%自報
Claw-Eval50.0%自報
SWE-Bench Pro49.5%自報
MCP-Mark37.0%自報
VITA-Bench35.6%自報
NL2Repo29.4%自報
SkillsBench28.7%自報
Toolathlon26.9%自報
DeepPlanning25.9%自報

Biology

GPQA86.0%自報

Chemistry

SuperGPQA64.7%自報

Code

SWE-Bench Verified73.4%自報
SWE-bench Multilingual67.2%自報

Embodied

EmbSpatialBench0.84 / 100自報

Finance

MMLU-Pro85.2%自報

General

MMLU-Redux93.3%自報
C-Eval90.0%自報
MMMU81.7%自報
LiveCodeBench v680.4%自報
MMMU-Pro75.3%自報
SimpleVQA0.59 / 100自報

Grounding

RefCOCO-avg0.92 / 100自報
RefSpatialBench0.64 / 100自報

Healthcare

VideoMMMU83.7%自報

Long Context

MLVU86.2%自報
LVBench71.4%自報

Math

AIME 202692.7%自報
HMMT 202590.7%自報
HMMT2589.1%自報
MathVista-Mini86.4%自報
HMMT Feb 2683.6%自報
IMO-AnswerBench78.9%自報
Humanity's Last Exam21.4%自報

Multimodal

MMBench-V1.192.8%自報
AI2D92.7%自報
OmniDocBench 1.589.9%自報
VideoMME w sub.86.6%自報
VideoMME w/o sub.82.5%自報
CC-OCR81.9%自報
CharXiv-R78.0%自報
MVBench74.6%自報
ZEROBench-Sub0.34 / 100自報

Reasoning

Hallusion Bench69.8%自報

Spatial Reasoning

RealWorldQA85.3%自報

Vision

ODinW50.8%自報

AA 評測指數

Coding Index
41.9
Intelligence Index
31.6
Tau2
1.0
Gpqa
0.8
Ifbench
0.6
Lcr
0.6
Terminalbench V2 1
0.4
Scicode
0.4
Terminalbench Hard
0.3
Hle
0.2
Tau Banking
0.1

LLM Stats 分類評分

Legal
100
Finance
100
General
100
Agents
76
Reasoning
35
Language
90
Structured Output
90
Biology
90
Long Context
80
Math
80
Multimodal
80
Physics
80
Spatial Reasoning
80
Embodied
80
Grounding
80
Healthcare
80
Chemistry
80
Text-to-image
80
Video
80
Frontend Development
70
Vision
70
Image To Text
60
Search
60
Code
60
Economics
60
Tool Calling
50
Coding
40

定價

輸入價格$0.248 / 1M tokens
輸出價格$1.485 / 1M tokens
混合價格(3:1)$0.557 / 1M tokens

速度

Tokens/秒181.2
首Token延遲1.35s
首回答延遲31.12s

供應商價格排行

供應商價格排行

11 個供應商

最便宜: NanoGPT最貴: LLMTR
供應商輸入輸出
1NanoGPT最便宜
$0.112
$0.8
2OpenRouter
$0.14
$1
3Deep Infra
$0.15
$0.95
4Wafer
$0.15
$1
5Kilo Gateway
$0.1612
$0.96525
6NEAR AI Cloud
$0.17
$1.1
7SiliconFlow (China)
$0.23
$1.86
8Alibaba主要
$0.248
$1.485
9OrcaRouter
$0.248
$1.485
10Neuralwatt
$0.29
$1.15
11LLMTR
$5
$10

比較該模型在不同 API 供應商之間的定價。

外部連結