Qwen3 235B A22B 2507 Instruct
AlibabaQwen오픈 웨이트Apache 2.0 · 상업적 사용 가능
설명
Qwen3-235B-A22B-Instruct-2507 is the updated instruct version of Qwen3-235B-A22B featuring significant improvements in general capabilities including instruction following, logical reasoning, text comprehension, mathematics, science, coding and tool usage. It provides substantial gains in long-tail knowledge coverage across multiple languages and markedly better alignment with user preferences in subjective and open-ended tasks.
출시일
2025-07-21
파라미터
235.0B
컨텍스트 길이
262K
모달리티
text
능력 레이더
33
general
52
coding
76
reasoning
56
science
60
agents
0
multimodal
랭킹
벤치마크 점수 (LLM Stats)
(LLM Stats (zeroeval))Chat
IFEvalGoogle Research (2023)
88.7%자체 보고
Multi-IF
77.5%자체 보고
Tau2 Airline
44.0%자체 보고
Communication
Tau2 Retail
71.3%자체 보고
Creativity
Creative Writing v3
87.5%자체 보고
Factuality
SimpleQA
54.3%자체 보고
General
MultiPL-E
87.9%자체 보고
CSimpleQA
84.3%자체 보고
Include
79.5%자체 보고
Arena-Hard v2
79.2%자체 보고
BFCL-v3
70.9%자체 보고
Aider-Polyglot
57.3%자체 보고
Language
MMLU-Redux
93.1%자체 보고
MMLU-Pro
83.0%자체 보고
MMLU-ProX
79.4%자체 보고
Math
LiveBench 20241125
75.4%자체 보고
AIME 2025
70.3%자체 보고
HMMT25
55.4%자체 보고
PolyMATH
50.2%자체 보고
Reasoning
ZebraLogic
95.0%자체 보고
GPQANYU + Cohere + Anthropic (2023)
77.5%자체 보고
SuperGPQA
62.6%자체 보고
LiveCodeBench v6
51.8%자체 보고
ARC-AGI
41.8%자체 보고
Writing
WritingBench
85.2%자체 보고
AA 평가 지수
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))98.0
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))82.8
Gpqa(NYU + Cohere + Anthropic (2023))75.3
Math Index(Artificial Analysis)71.7
Aime(MAA (Mathematical Association of America))71.7
Aime 25(MAA (Mathematical Association of America))71.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))52.4
Ifbench(Google Research (2023))46.1
Lcr(Artificial Analysis)33.9
Tau2(Sierra + U Toronto + Vector Institute (2025))33.3
Terminalbench Hard(Stanford × Laude Institute (2026))15.2
Intelligence Index(Artificial Analysis)12.0
Hle(Center for AI Safety + Scale AI (2025))11.1
LLM Stats 카테고리 점수
(LLM Stats (zeroeval))Instruction Following80
Language80
Legal80
Structured Output80
Finance80
Healthcare80
Biology80
Creativity80
Writing80
Chat70
Math70
Physics70
Reasoning70
General70
Agents70
Chemistry70
Communication70
Code60
Economics60
Tool Calling60
Multimodal50
Spatial Reasoning50
Factuality50
Vision50
가격
입력 가격$0.23 / 1M 토큰
출력 가격$0.92 / 1M 토큰
혼합 가격 (3:1)$0.403 / 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
11개 공급자
최저가: DeepInfra최고가: GreenPT
공급자입력출력
1DeepInfra최저가
$0
$0
2Cortecs
$0.069
$0.455
3TensorX
$0.072
$0.464
4OpenRouter
$0.0875
$0.35
5DevPass (LLM Gateway)
$0.09
$0.58
6Kilo Gateway
$0.1495
$0.598
7Venice AI
$0.15
$0.75
8Alibaba주요
$0.23
$0.92
9302.AI
$0.29
$1.143
10Scaleway
$0.75
$2.25
11GreenPT
$1.026
$3.078
이 모델의 다양한 API 공급자 간 가격 비교.