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Qwen3.8 Max (0902)

AlibabaQwenOpen WeightQwen3.8-Max License · Usage Commercial

Description

Qwen3.8 Max, released as the Qwen3.8-2.4T-A95B open-weight checkpoint, is Qwen's flagship mixture-of-experts model for coding, research, professional workflows, and long-horizon agents. It has 2.4 trillion total parameters with 95 billion active parameters, a native 262,144-token context window extensible to about 1 million tokens, and always-on thinking. QwenCloud serves the same model in the Qwen3.8 Max API family with text and image input.

Date de sortie
2026-09-02
Paramètres
2.4T
Longueur du contexte
1.0M
Modalités
image, pdf, text, video

Radar de capacités

45
general
72
coding
93
reasoning
69
science
60
agents
90
multimodal

Classements

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

QwenSVG1713.00 / 2000Aut.
AndroidWorld85.3%Aut.
MobileWorld77.8%Aut.
AndroidBench75.1%Aut.
CoWorkBench74.8%Aut.
Toolathlon72.5%Aut.
Workspace Bench67.7%Aut.
Job Bench53.4%Aut.
OneMillion Bench52.5%Aut.
Agents' Last Exam52.4%Aut.
MLS-Bench Lite41.0%Aut.
AutomationBench27.3%Aut.

Code

QwenReactBench1724.00 / 2000Aut.
PaperBench93.0%Aut.
QwenSWEBench80.7%Aut.
FrontierSWE73.5%Aut.
SkillsBench70.2%Aut.
Vision2Web69.0%Aut.
QwenQoderBench58.4%Aut.
DeepSWE 1.156.6%Aut.
NL2Repo55.9%Aut.

Healthcare

HealthBench60.2%Aut.

Instruction Following

IFBench82.8%Aut.

Knowledge

PLawBench73.2%Aut.
PRBench-Finance58.3%Aut.
PRBench-Legal57.6%Aut.

Long Context

MRCR v2 (8-needle)92.9%Aut.
LongBench v266.3%Aut.

Multimodal

OSWorld-Verified86.1%Aut.

Reasoning

GPQANYU + Cohere + Anthropic (2023)92.6%Aut.
Terminal-Bench 2.186.6%Aut.
SWE-Bench ProPrinceton NLP (2024)67.7%Aut.
Humanity's Last Exam (with tools, text-only)56.2%Aut.
Humanity's Last Exam43.6%Aut.

Search

WideSearch81.9%Aut.

Vision

VideoMME w sub.90.4%Aut.
RealWorldQA88.0%Aut.
ScreenSpot Pro84.5%Aut.
MMMU-Pro82.3%Aut.
LVBench81.8%Aut.
ERQA77.8%Aut.
PerceptionBench63.5%Aut.

Indices d'évaluation AA

(Artificial Analysis)
Gpqa(NYU + Cohere + Anthropic (2023))
92.8
Terminalbench V2 1
88.8
Lcr(Artificial Analysis)
80.3
Coding Index(Artificial Analysis)
76.2
Scicode(UIUC + Argonne National Lab (2024))
52.1
Tau Banking
47.8
Intelligence Index(Artificial Analysis)
45.4
Hle(Center for AI Safety + Scale AI (2025))
43.1
Terminalbench V4 0
38.9

Scores par catégorie LLM Stats

(LLM Stats (zeroeval))
Physics
90
Biology
90
Chemistry
90
Video
90
Instruction Following
80
Multimodal
80
Search
80
Spatial Reasoning
80
Grounding
80
Vision
80
Long Context
70
Reasoning
70
Structured Output
70
General
70
Agents
70
Code
70
Productivity
60
Healthcare
60
Tool Calling
60
Math
50

Tarification

Prix d'entrée$2 / 1M tokens
Prix de sortie$6 / 1M tokens
Prix mixte (3:1)$3 / 1M tokens
Prix de lecture cache$0.25 / 1M tokens
Prix d'écriture cache$2.5 / 1M tokens

Vitesse

Tokens/sec39.3
Délai du premier token1.77s
Temps de réponse52.61s

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

6 fournisseurs

Moins cher: DeepInfraPlus cher: EmpirioLabs AI
FournisseurEntréeSortie
1DeepInfraMoins cher
$0
$0
2Novita
$0
$0.00001
3Fireworks
$0
$0.00001
4Together
$0
$0.00001
5AlibabaPRINCIPAL
$2
$6
6EmpirioLabs AI
$2
$6

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes