메인 콘텐츠로 건너뛰기

Qwen3 235B A22B 2507 (Reasoning)

AlibabaQwen오픈 웨이트Apache 2.0 · 상업적 사용 가능

설명

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.

출시일
2025-07-25
파라미터
235.0B
컨텍스트 길이
262K
모달리티
text

능력 레이더

35
general
44
coding
92
reasoning
53
science
60
agents
0
multimodal

랭킹

도메인#순위점수소스
코딩 랭킹311
48.0
AA
종합 랭킹250
48.0
AA
과학237
54.0
AA

벤치마크 점수 (LLM Stats)

(LLM Stats (zeroeval))

Chat

IFEvalGoogle Research (2023)87.8%자체 보고
Multi-IF80.6%자체 보고
TAU-bench Retail67.8%자체 보고
Tau2 Airline58.0%자체 보고

Code

CFEval2134.00 / 10000자체 보고

Communication

Tau2 Retail71.9%자체 보고
Tau2 Telecom45.6%자체 보고

Creativity

Creative Writing v386.1%자체 보고

General

Include81.0%자체 보고
Arena-Hard v279.7%자체 보고
BFCL-v371.9%자체 보고

Language

MMLU-Redux93.8%자체 보고
MMLU-Pro84.4%자체 보고
MMLU-ProX81.0%자체 보고

Math

AIME 202592.3%자체 보고
HMMT2583.9%자체 보고
LiveBench 2024112578.4%자체 보고
PolyMATH60.1%자체 보고

Reasoning

GPQANYU + Cohere + Anthropic (2023)81.1%자체 보고
LiveCodeBench v674.1%자체 보고
SuperGPQA64.9%자체 보고
TAU-bench Airline46.0%자체 보고
OJBench32.5%자체 보고
Humanity's Last Exam18.2%자체 보고

Writing

WritingBench88.3%자체 보고

AA 평가 지수

(Artificial Analysis)
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
98.4
Aime(MAA (Mathematical Association of America))
94.0
Math Index(Artificial Analysis)
91.0
Aime 25(MAA (Mathematical Association of America))
91.0
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
84.3
Gpqa(NYU + Cohere + Anthropic (2023))
79.0
Livecodebench(UC Berkeley + MIT + Cornell (2024))
78.8
Lcr(Artificial Analysis)
72.0
Tau2(Sierra + U Toronto + Vector Institute (2025))
53.2
Ifbench(Google Research (2023))
51.2
Scicode(UIUC + Argonne National Lab (2024))
41.4
Coding Index(Artificial Analysis)
22.1
Hle(Center for AI Safety + Scale AI (2025))
15.9
Terminalbench Hard(Stanford × Laude Institute (2026))
13.6
Intelligence Index(Artificial Analysis)
12.7
Terminalbench V2 1
12.0
Tau Banking
7.8
Terminalbench V4 0
0.0

LLM Stats 카테고리 점수

(LLM Stats (zeroeval))
Instruction Following
80
Language
80
Legal
80
Structured Output
80
Finance
80
Healthcare
80
Biology
80
Creativity
80
Writing
80
Chat
70
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

가격

입력 가격$0.23 / 1M 토큰
출력 가격$2.3 / 1M 토큰
혼합 가격 (3:1)$0.747 / 1M 토큰
캐시 읽기 가격$0.0175 / 1M 토큰

속도

토큰/초0.0
첫 토큰 지연0.00s
첫 응답 지연0.00s

공급자 가격 순위

공급자 가격 순위

5개 공급자

최저가: Alibaba최고가: NovitaAI
공급자입력출력
1Alibaba주요
$0.23
$2.3
2OpenRouter
$0.23
$2.3
3Kilo Gateway
$0.23
$2.3
4Jiekou.AI
$0.3
$3
5NovitaAI
$0.3
$3

이 모델의 다양한 API 공급자 간 가격 비교.

외부 링크