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Qwen3.5 397B A17B (Non-reasoning)

AlibabaQwenOpen WeightApache 2.0 · Usage Commercial

Description

Qwen3.5-397B-A17B is Qwen's flagship Mixture-of-Experts model with 397 billion total parameters and 17 billion activated parameters. It delivers state-of-the-art performance across knowledge, reasoning, coding, mathematics, multilingual understanding, instruction following, long context, and agent tasks.

Date de sortie
2026-02-16
Paramètres
397.0B
Longueur du contexte
262K
Modalités
audio, image, text, video

Radar de capacités

21
general
70
coding
86
reasoning
66
science
60
agents
70
multimodal

Classements

Domaine#RangScoreSource
Capacité agentique17
62.0
LS
Classement codage216
64.0
AA
Classement général211
52.0
AA
Science195
60.0
AA

Scores de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench86.7%Aut.
VITA-Bench49.7%Aut.
MCP-Mark46.1%Aut.
Toolathlon38.3%Aut.
DeepPlanning34.3%Aut.

Chat

IFEvalGoogle Research (2023)92.6%Aut.
Multi-Challenge67.6%Aut.

Code

SecCodeBench68.3%Aut.

General

C-Eval93.0%Aut.
MAXIFE88.2%Aut.
Include85.6%Aut.
NOVA-6359.1%Aut.

Instruction Following

IFBench76.5%Aut.

Language

MMLU-Redux94.9%Aut.
MMMLU88.5%Aut.
MMLU-Pro87.8%Aut.
MMLU-ProX84.7%Aut.
WMT24++78.9%Aut.

Long Context

LongBench v263.2%Aut.

Math

HMMT 202594.8%Aut.
HMMT2592.7%Aut.
AIME 202691.3%Aut.
IMO-AnswerBench80.9%Aut.
PolyMATH73.3%Aut.

Reasoning

Global PIQA89.8%Aut.
GPQANYU + Cohere + Anthropic (2023)88.4%Aut.
LiveCodeBench v683.6%Aut.
SWE-Bench Verified76.4%Aut.
SuperGPQA70.4%Aut.
BrowseComp-zh70.3%Aut.
SWE-bench Multilingual69.3%Aut.
BrowseCompOpenAI (2025)69.0%Aut.
AA-LCR68.7%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)52.5%Aut.
Seal-046.9%Aut.
Humanity's Last Exam28.7%Aut.

Search

WideSearch74.0%Aut.

Tool Calling

BFCL-V472.9%Aut.

Indices d'évaluation AA

(Artificial Analysis)
Gpqa(NYU + Cohere + Anthropic (2023))
86.1
Tau2(Sierra + U Toronto + Vector Institute (2025))
83.9
Lcr(Artificial Analysis)
64.3
Ifbench(Google Research (2023))
51.6
Terminalbench Hard(Stanford × Laude Institute (2026))
35.6
Intelligence Index(Artificial Analysis)
21.4
Hle(Center for AI Safety + Scale AI (2025))
19.8

Scores par catégorie LLM Stats

(LLM Stats (zeroeval))
Language
90
Biology
90
Chat
80
Instruction Following
80
Legal
80
Math
80
Physics
80
Structured Output
80
Finance
80
Frontend Development
80
Healthcare
80
Chemistry
80
Long Context
70
Multimodal
70
Reasoning
70
Search
70
Spatial Reasoning
70
General
70
Code
70
Communication
70
Economics
70
Agents
60
Tool Calling
60
Vision
50

Tarification

Prix d'entrée$0.6 / 1M tokens
Prix de sortie$3.6 / 1M tokens
Prix mixte (3:1)$1.35 / 1M tokens

Vitesse

Tokens/sec86.1
Délai du premier token1.70s
Temps de réponse1.70s

Classement des Prix par Fournisseur

Classement des Prix par Fournisseur

2 fournisseurs

Moins cher: DeepInfraPlus cher: Alibaba
FournisseurEntréeSortie
1DeepInfraMoins cher
$0
$0
2AlibabaPRINCIPAL
$0.6
$3.6

Comparer les prix entre différents fournisseurs API pour ce modèle.

Sources externes

LLM StatsArtificial Analysis