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Qwen3.5 397B A17B (Non-reasoning)

AlibabaQwenOpen WeightApache 2.0 · Uso Comercial

Descripción

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.

Fecha de lanzamiento
2026-02-16
Parámetros
397.0B
Longitud del contexto
262K
Modalidades
audio, image, text, video

Radar de capacidades

30
general
41
coding
86
reasoning
57
science
60
agents
70
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica29
56.0
LS
Ranking de codificación142
64.0
AA
Ranking general151
61.0
AA
Ciencia126
64.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

t2-bench86.7%Aut.
WideSearch74.0%Aut.
BFCL-V472.9%Aut.
BrowseCompOpenAI (2025)69.0%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)52.5%Aut.
VITA-Bench49.7%Aut.
MCP-Mark46.1%Aut.
Toolathlon38.3%Aut.
DeepPlanning34.3%Aut.

Biology

GPQANYU + Cohere + Anthropic (2023)88.4%Aut.

Chemistry

SuperGPQA70.4%Aut.

Code

SWE-Bench Verified76.4%Aut.
SWE-bench Multilingual69.3%Aut.
SecCodeBench68.3%Aut.

Communication

Multi-Challenge67.6%Aut.

Finance

MMLU-Pro87.8%Aut.
MMLU-ProX84.7%Aut.

General

MMLU-Redux94.9%Aut.
C-Eval93.0%Aut.
IFEvalGoogle Research (2023)92.6%Aut.
Global PIQA89.8%Aut.
MMMLU88.5%Aut.
MAXIFE88.2%Aut.
Include85.6%Aut.
LiveCodeBench v683.6%Aut.
IFBench76.5%Aut.
LongBench v263.2%Aut.
NOVA-6359.1%Aut.

Language

WMT24++78.9%Aut.

Long Context

AA-LCR68.7%Aut.

Math

HMMT 202594.8%Aut.
HMMT2592.7%Aut.
AIME 202691.3%Aut.
IMO-AnswerBench80.9%Aut.
PolyMATH73.3%Aut.
Humanity's Last Exam28.7%Aut.

Reasoning

BrowseComp-zh70.3%Aut.
Seal-046.9%Aut.

Índices de evaluación AA

(Artificial Analysis)
Intelligence Index(Artificial Analysis)
32.7
Gpqa(NYU + Cohere + Anthropic (2023))
0.9
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.8
Lcr(Artificial Analysis)
0.6
Ifbench(Google Research (2023))
0.5
Scicode(UIUC + Argonne National Lab (2024))
0.4
Terminalbench Hard(Stanford × Laude Institute (2026))
0.4
Hle(Center for AI Safety + Scale AI (2025))
0.2

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Language
90
Biology
90
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

Precios

Precio de entrada$0.6 / 1M tokens
Precio de salida$3.6 / 1M tokens
Precio mixto (3:1)$1.35 / 1M tokens

Velocidad

Tokens/seg78.6
Retraso del primer token1.36s
Tiempo hasta la respuesta1.36s

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

1 proveedores

ProveedorEntradaSalida
1AlibabaPRINCIPAL
$0.6
$3.6

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas

LLM StatsArtificial Analysis