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Qwen3 235B A22B 2507 (Reasoning)

AlibabaQwenОткрытые весаApache 2.0 · Коммерческое использование

Описание

Qwen3-235B-A22B-Thinking-2507 is a state-of-the-art thinking-enabled Mixture-of-Experts (MoE) model with 235B total parameters (22B activated). It features 94 layers, 128 experts (8 activated), and supports 262K native context length. This version delivers significantly improved reasoning performance, achieving state-of-the-art results among open-source thinking models on logical reasoning, mathematics, science, coding, and academic benchmarks. Key enhancements include markedly better general capabilities (instruction following, tool usage, text generation), enhanced 256K long-context understanding, and increased thinking depth. The model supports only thinking mode with automatic <think> tag inclusion.

Дата выхода
2025-07-25
Параметры
235.0B
Длина контекста
262K
Модальности
text

Радар способностей

39
general
44
coding
92
reasoning
54
science
60
agents
0
multimodal

Рейтинги

Домен#МестоОценкаИсточник
Агентные возможности45
53.0
LS
Рейтинг кодинга228
50.0
AA
Общий рейтинг230
52.0
AA
Наука175
59.0
AA

Оценки бенчмарков (LLM Stats)

(LLM Stats (zeroeval))

Agents

BFCL-v371.9%Сам.

Biology

GPQANYU + Cohere + Anthropic (2023)81.1%Сам.

Chemistry

SuperGPQA64.9%Сам.

Code

CFEval2134.00 / 10000Сам.

Communication

WritingBench88.3%Сам.
Multi-IF80.6%Сам.
Tau2 Retail71.9%Сам.
TAU-bench Retail67.8%Сам.
Tau2 Airline58.0%Сам.
TAU-bench Airline46.0%Сам.
Tau2 Telecom45.6%Сам.

Creativity

Creative Writing v386.1%Сам.
Arena-Hard v279.7%Сам.

Finance

MMLU-Pro84.4%Сам.
MMLU-ProX81.0%Сам.

General

MMLU-Redux93.8%Сам.
IFEvalGoogle Research (2023)87.8%Сам.
Include81.0%Сам.
LiveBench 2024112578.4%Сам.
LiveCodeBench v674.1%Сам.

Math

AIME 202592.3%Сам.
HMMT2583.9%Сам.
PolyMATH60.1%Сам.
Humanity's Last Exam18.2%Сам.

Reasoning

OJBench32.5%Сам.

Индексы оценки AA

(Artificial Analysis)
Math Index(Artificial Analysis)
91.0
Coding Index(Artificial Analysis)
22.1
Intelligence Index(Artificial Analysis)
19.9
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
1.0
Aime(MAA (Mathematical Association of America))
0.9
Aime 25(MAA (Mathematical Association of America))
0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.8
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.8
Lcr(Artificial Analysis)
0.7
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.5
Ifbench(Google Research (2023))
0.5
Scicode(UIUC + Argonne National Lab (2024))
0.4
Hle(Center for AI Safety + Scale AI (2025))
0.2
Terminalbench Hard(Stanford × Laude Institute (2026))
0.1
Terminalbench V2 1
0.1
Tau Banking
0.1

Оценки категорий LLM Stats

(LLM Stats (zeroeval))
Legal
80
Structured Output
80
Instruction Following
80
Language
80
Finance
80
Healthcare
80
Biology
80
Creativity
80
Writing
80
Math
70
Physics
70
Reasoning
70
General
70
Agents
70
Chemistry
70
Communication
70
Multimodal
60
Spatial Reasoning
60
Economics
60
Tool Calling
60
Vision
40

Цены

Цена ввода$0.7 / 1M токенов
Цена вывода$8.4 / 1M токенов
Смешанная цена (3:1)$2.625 / 1M токенов

Скорость

Токенов/сек0.0
Задержка первого токена0.00s
Время до первого ответа0.00s

Рейтинг цен провайдеров

Рейтинг цен провайдеров

6 провайдеров

Самый дешевый: TensorXСамый дорогой: Alibaba
ПровайдерВводВывод
1TensorXСамый дешевый
$0.072
$0.464
2OpenRouter
$0.23
$2.3
3Kilo Gateway
$0.23
$2.3
4Jiekou.AI
$0.3
$3
5NovitaAI
$0.3
$3
6AlibabaОсновной
$0.7
$8.4

Сравнение цен разных API-провайдеров для этой модели.

Внешние ссылки