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Qwen3.6 35B A3B (Reasoning)

AlibabaQwenOpen WeightApache 2.0 · Usage Commercial

Description

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.

Date de sortie
2026-04-16
Paramètres
35.0B
Longueur du contexte
262K
Modalités
audio, image, text, video

Radar de capacités

19
general
41
coding
84
reasoning
55
science
50
agents
80
multimodal

Classements

Domaine#RangScoreSource
Capacité agentique85
39.0
LS
Classement codage237
59.0
AA
Classement général181
56.0
AA
Classement multimodal44
59.0
LS
Science213
57.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

TAU3-Bench67.2%Aut.
MCP-Mark37.0%Aut.
VITA-Bench35.6%Aut.
Toolathlon26.9%Aut.
DeepPlanning25.9%Aut.

Code

ZClawBench52.6%Aut.
Claw-Eval50.0%Aut.
NL2Repo29.4%Aut.
SkillsBench28.7%Aut.

General

C-Eval90.0%Aut.

Language

MMLU-Redux93.3%Aut.
MMLU-Pro85.2%Aut.

Math

AIME 202692.7%Aut.
HMMT 202590.7%Aut.
HMMT2589.1%Aut.
MathVista-Mini86.4%Aut.
HMMT Feb 2683.6%Aut.
IMO-AnswerBench78.9%Aut.

Multimodal

VideoMMMU83.7%Aut.
VideoMME w/o sub.82.5%Aut.
MMMU81.7%Aut.

Reasoning

GPQANYU + Cohere + Anthropic (2023)86.0%Aut.
LiveCodeBench v680.4%Aut.
CharXiv-R78.0%Aut.
SWE-Bench Verified73.4%Aut.
SWE-bench Multilingual67.2%Aut.
SuperGPQA64.7%Aut.
MCP Atlas62.8%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)51.5%Aut.
SWE-Bench ProPrinceton NLP (2024)49.5%Aut.
Humanity's Last Exam21.4%Aut.

Search

WideSearch60.1%Aut.

Video

MLVU86.2%Aut.

Vision

MMBench-V1.192.8%Aut.
AI2D92.7%Aut.
RefCOCO-avg0.92 / 100Aut.
OmniDocBench 1.589.9%Aut.
VideoMME w sub.86.6%Aut.
RealWorldQA85.3%Aut.
EmbSpatialBench0.84 / 100Aut.
CC-OCR81.9%Aut.
MMMU-Pro75.3%Aut.
MVBench74.6%Aut.
LVBench71.4%Aut.
Hallusion Bench69.8%Aut.
RefSpatialBench0.64 / 100Aut.
SimpleVQA0.59 / 100Aut.
ODinW50.8%Aut.
ZEROBench-Sub0.34 / 100Aut.

Indices d'évaluation AA

(Artificial Analysis)
Tau2(Sierra + U Toronto + Vector Institute (2025))
95.3
Gpqa(NYU + Cohere + Anthropic (2023))
84.1
Lcr(Artificial Analysis)
71.7
Ifbench(Google Research (2023))
64.4
Terminalbench V2 1
44.9
Coding Index(Artificial Analysis)
41.9
Scicode(UIUC + Argonne National Lab (2024))
36.6
Terminalbench Hard(Stanford × Laude Institute (2026))
34.8
Hle(Center for AI Safety + Scale AI (2025))
22.2
Intelligence Index(Artificial Analysis)
18.2
Tau Banking
9.3

Scores par catégorie LLM Stats

(LLM Stats (zeroeval))
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
Legal
70
Reasoning
70
Finance
70
Frontend Development
70
General
70
Vision
70
Image To Text
60
Search
60
Economics
60
Code
50
Tool Calling
50
Agents
40

Tarification

Prix d'entrée$0.375 / 1M tokens
Prix de sortie$2.25 / 1M tokens
Prix mixte (3:1)$0.844 / 1M tokens

Vitesse

Tokens/sec138.7
Délai du premier token1.20s
Temps de réponse40.10s

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

4 fournisseurs

Moins cher: DeepInfraPlus cher: Alibaba
FournisseurEntréeSortie
1DeepInfraMoins cher
$0
$0
2EmpirioLabs AI
$0.07
$0.42
3Venice AI
$0.1
$1
4AlibabaPRINCIPAL
$0.375
$2.25

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes