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
39
general
44
coding
92
reasoning
54
science
60
agents
0
multimodal
랭킹
벤치마크 점수 (LLM Stats)
(LLM Stats (zeroeval))Agents
BFCL-v3
71.9%자체 보고
Biology
GPQANYU + Cohere + Anthropic (2023)
81.1%자체 보고
Chemistry
SuperGPQA
64.9%자체 보고
Code
CFEval
2134.00 / 10000자체 보고
Communication
WritingBench
88.3%자체 보고
Multi-IF
80.6%자체 보고
Tau2 Retail
71.9%자체 보고
TAU-bench Retail
67.8%자체 보고
Tau2 Airline
58.0%자체 보고
TAU-bench Airline
46.0%자체 보고
Tau2 Telecom
45.6%자체 보고
Creativity
Creative Writing v3
86.1%자체 보고
Arena-Hard v2
79.7%자체 보고
Finance
MMLU-Pro
84.4%자체 보고
MMLU-ProX
81.0%자체 보고
General
MMLU-Redux
93.8%자체 보고
IFEvalGoogle Research (2023)
87.8%자체 보고
Include
81.0%자체 보고
LiveBench 20241125
78.4%자체 보고
LiveCodeBench v6
74.1%자체 보고
Math
AIME 2025
92.3%자체 보고
HMMT25
83.9%자체 보고
PolyMATH
60.1%자체 보고
Humanity's Last Exam
18.2%자체 보고
Reasoning
OJBench
32.5%자체 보고
AA 평가 지수
(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 10.1
Tau Banking0.1
LLM Stats 카테고리 점수
(LLM Stats (zeroeval))Legal80
Structured Output80
Instruction Following80
Language80
Finance80
Healthcare80
Biology80
Creativity80
Writing80
Math70
Physics70
Reasoning70
General70
Agents70
Chemistry70
Communication70
Multimodal60
Spatial Reasoning60
Economics60
Tool Calling60
Vision40
가격
입력 가격$0.7 / 1M 토큰
출력 가격$8.4 / 1M 토큰
혼합 가격 (3:1)$2.625 / 1M 토큰
속도
토큰/초0.0
첫 토큰 지연0.00s
첫 응답 지연0.00s
공급자 가격 순위
공급자 가격 순위
5개 공급자
최저가: OpenRouter최고가: Alibaba
공급자입력출력
1OpenRouter최저가
$0.23
$2.3
2Kilo Gateway
$0.23
$2.3
3Jiekou.AI
$0.3
$3
4NovitaAI
$0.3
$3
5Alibaba주요
$0.7
$8.4
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