Qwen3.5 397B A17B (Non-reasoning)
AlibabaQwenОткрытые весаApache 2.0 · Коммерческое использование
Описание
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.
Дата выхода
2026-02-16
Параметры
397.0B
Длина контекста
262K
Модальности
audio, image, text, video
Радар способностей
30
general
41
coding
86
reasoning
57
science
60
agents
70
multimodal
Рейтинги
| Домен | #Место | Оценка | Источник |
|---|---|---|---|
| Агентные возможности | 29 | 56.0 | LS |
| Рейтинг кодинга | 148 | 64.0 | AA |
| Общий рейтинг | 156 | 61.0 | AA |
| Наука | 134 | 64.0 | AA |
Оценки бенчмарков (LLM Stats)
(LLM Stats (zeroeval))Agents
t2-bench
86.7%Сам.
WideSearch
74.0%Сам.
BFCL-V4
72.9%Сам.
BrowseCompOpenAI (2025)
69.0%Сам.
Terminal-Bench 2.0Stanford × Laude Institute (2026)
52.5%Сам.
VITA-Bench
49.7%Сам.
MCP-Mark
46.1%Сам.
Toolathlon
38.3%Сам.
DeepPlanning
34.3%Сам.
Biology
GPQANYU + Cohere + Anthropic (2023)
88.4%Сам.
Chemistry
SuperGPQA
70.4%Сам.
Code
SWE-Bench Verified
76.4%Сам.
SWE-bench Multilingual
69.3%Сам.
SecCodeBench
68.3%Сам.
Communication
Multi-Challenge
67.6%Сам.
Finance
MMLU-Pro
87.8%Сам.
MMLU-ProX
84.7%Сам.
General
MMLU-Redux
94.9%Сам.
C-Eval
93.0%Сам.
IFEvalGoogle Research (2023)
92.6%Сам.
Global PIQA
89.8%Сам.
MMMLU
88.5%Сам.
MAXIFE
88.2%Сам.
Include
85.6%Сам.
LiveCodeBench v6
83.6%Сам.
IFBench
76.5%Сам.
LongBench v2
63.2%Сам.
NOVA-63
59.1%Сам.
Language
WMT24++
78.9%Сам.
Long Context
AA-LCR
68.7%Сам.
Math
HMMT 2025
94.8%Сам.
HMMT25
92.7%Сам.
AIME 2026
91.3%Сам.
IMO-AnswerBench
80.9%Сам.
PolyMATH
73.3%Сам.
Humanity's Last Exam
28.7%Сам.
Reasoning
BrowseComp-zh
70.3%Сам.
Seal-0
46.9%Сам.
Индексы оценки 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
Оценки категорий LLM Stats
(LLM Stats (zeroeval))Language90
Biology90
Legal80
Math80
Physics80
Structured Output80
Instruction Following80
Finance80
Frontend Development80
Healthcare80
Chemistry80
Long Context70
Multimodal70
Reasoning70
Search70
Spatial Reasoning70
General70
Code70
Communication70
Economics70
Agents60
Tool Calling60
Vision50
Цены
Цена ввода$0.6 / 1M токенов
Цена вывода$3.6 / 1M токенов
Смешанная цена (3:1)$1.35 / 1M токенов
Скорость
Токенов/сек78.0
Задержка первого токена1.35s
Время до первого ответа1.35s
Рейтинг цен провайдеров
Рейтинг цен провайдеров
8 провайдеров
Самый дешевый: DigitalOceanСамый дорогой: GreenPT
ПровайдерВводВывод
1DigitalOceanСамый дешевый
$0.3025
$1.925
2CrofAI
$0.35
$1.75
3Alibaba (China)
$0.43
$2.58
4AlibabaОсновной
$0.6
$3.6
5Scaleway
$0.6
$3.6
6Cortecs
$0.668
$4.01
7OVHcloud AI Endpoints
$0.71
$4.25
8GreenPT
$0.798
$4.959
Сравнение цен разных API-провайдеров для этой модели.