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Qwen3.6 Plus

AlibabaQwenProprietary

Description

Qwen3.6 Plus is Alibaba's next-generation flagship model featuring a 1 million token native context window, up to 65,536 output tokens, and always-on chain-of-thought reasoning. It uses a next-generation hybrid architecture optimized for efficiency and scalability. It leads on Terminal-Bench 2.0 agentic coding (61.6), surpassing Claude 4.5 Opus, and achieves strong results on document understanding (OmniDocBench 91.2) and multimodal reasoning (MMMU 86.0). Compared to Qwen 3.5, it is significantly more decisive in reasoning, using fewer tokens on straightforward tasks with better agent stability.

Date de sortie
2026-04-02
Paramètres
—
Longueur du contexte
1.0M
Modalités
image, text, video

Radar de capacités

37
general
52
coding
88
reasoning
59
scienceest.
60
agents
90
multimodal

Science utilise un proxy de raisonnement lorsque les benchmarks scientifiques dédiés ne sont pas disponibles.

Classements

Domaine#RangScoreSource
Capacité agentique68
54.0
LS
Classement codage52
76.0
AA
Classement général23
80.0
AA
Classement multimodal17
87.0
LS
Raisonnement29
82.0
LS
Science62
69.0
AA

Scores de benchmarks (LLM Stats)

Agents

GDPval-AA1160.00 / 3000Aut.
WideSearch74.3%Aut.
MCP Atlas74.1%Aut.
TAU3-Bench70.7%Aut.
OSWorld-Verified62.5%Aut.
TIR-Bench61.6%Aut.
Terminal-Bench 2.061.6%Aut.
Claw-Eval58.7%Aut.
SWE-Bench Pro56.6%Aut.
MCP-Mark48.2%Aut.
SkillsBench45.7%Aut.
VITA-Bench44.3%Aut.
DeepPlanning41.5%Aut.
Finance Agent v240.8%Aut.
Toolathlon39.8%Aut.
NL2Repo37.9%Aut.
FrontierSWE22.0%Aut.

Biology

GPQA90.4%Aut.

Chemistry

SuperGPQA71.6%Aut.

Code

SWE-Bench Verified78.8%Aut.
SWE-bench Multilingual73.8%Aut.

Finance

MMLU-Pro88.5%Aut.
MMLU-ProX84.7%Aut.

General

MMLU-Redux94.5%Aut.
IFEval94.3%Aut.
C-Eval93.3%Aut.
Global PIQA89.8%Aut.
MMMLU89.5%Aut.
MAXIFE88.2%Aut.
LiveCodeBench v687.1%Aut.
MMMU86.0%Aut.
Include85.1%Aut.
MMStar83.3%Aut.
MMMU-Pro78.8%Aut.
IFBench74.2%Aut.
LiveBench70.9%Aut.
SimpleVQA0.67 / 100Aut.
LongBench v262.0%Aut.
NOVA-6357.9%Aut.

Grounding

RefCOCO-avg0.94 / 100Aut.
ScreenSpot Pro68.2%Aut.

Healthcare

VideoMMMU84.0%Aut.

Language

WMT24++84.3%Aut.

Long Context

MLVU86.7%Aut.
AA-LCR68.3%Aut.
MMLongBench-Doc0.62 / 100Aut.

Math

HMMT 202596.7%Aut.
AIME 202695.3%Aut.
HMMT2594.6%Aut.
We-Math89.0%Aut.
DynaMath88.0%Aut.
MathVision88.0%Aut.
HMMT Feb 2687.8%Aut.
IMO-AnswerBench83.8%Aut.
PolyMATH77.4%Aut.
Humanity's Last Exam28.8%Aut.

Multimodal

V*96.9%Aut.
AI2D94.4%Aut.
OmniDocBench 1.591.2%Aut.
Video-MME84.2%Aut.
CC-OCR83.4%Aut.
CharXiv-R81.5%Aut.

Reasoning

CountBench0.98 / 100Aut.
ERQA65.7%Aut.

Spatial Reasoning

RealWorldQA85.4%Aut.

Vision

ODinW51.8%Aut.

Indices d'évaluation AA

Coding Index
54.5
Intelligence Index
39.6
Tau2
1.0
Gpqa
0.9
Ifbench
0.8
Lcr
0.7
Terminalbench V2 1
0.6
Terminalbench Hard
0.4
Scicode
0.4
Hle
0.3
Tau Banking
0.2

Scores par catégorie LLM Stats

Legal
100
Finance
100
Agents
69
General
54
Reasoning
28
Language
90
Biology
90
Video
90
Instruction Following
80
Math
80
Multimodal
80
Physics
80
Spatial Reasoning
80
Structured Output
80
Frontend Development
80
Grounding
80
Healthcare
80
Chemistry
80
Text-to-image
80
Vision
80
Image To Text
70
Long Context
70
Search
70
Economics
70
Code
60
Tool Calling
60
Coding
50

Tarification

Prix d'entrée$0.5 / 1M tokens
Prix de sortie$3 / 1M tokens
Prix mixte (3:1)$1.125 / 1M tokens
Prix de lecture cache$0.05 / 1M tokens
Prix d'écriture cache$0.625 / 1M tokens

Vitesse

Tokens/sec52.3
Délai du premier token1.50s
Temps de réponse107.64s

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

17 fournisseurs

Moins cher: TogetherPlus cher: Venice AI
FournisseurEntréeSortie
1TogetherMoins cher
$0
$0
2AIHubMix
$0.28
$1.69
3OpenRouter
$0.325
$1.95
4Kilo Gateway
$0.325
$1.95
5NanoGPT
$0.45
$2.7
6AlibabaPRINCIPAL
$0.5
$3
7OpenCode Go
$0.5
$3
8Alibaba (China)
$0.5
$3
9ZenMux
$0.5
$3
10FrogBot
$0.5
$3
11Vercel AI Gateway
$0.5
$3
12LLM Gateway
$0.5
$3
13Together AI
$0.5
$3
14Auriko
$0.5
$3
15OrcaRouter
$0.5
$3
16Merge Gateway
$0.5
$3
17Venice AI
$0.625
$3.75

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes

LLM StatsArtificial Analysis