Qwen3 235B A22B 2507 (Reasoning)
AlibabaQwen开源权重Apache 2.0 · 商用许可
描述
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.
发布日期
2025-07-25
参数规模
235.0B
上下文长度
262K
支持模态
text
能力雷达图
35
general
44
coding
92
reasoning
53
science
60
agents
0
multimodal
排行榜排名
基准测试分数 (LLM Stats)
(LLM Stats (zeroeval))Chat
IFEvalGoogle Research (2023)
87.8%自报
Multi-IF
80.6%自报
TAU-bench Retail
67.8%自报
Tau2 Airline
58.0%自报
Code
CFEval
2134.00 / 10000自报
Communication
Tau2 Retail
71.9%自报
Tau2 Telecom
45.6%自报
Creativity
Creative Writing v3
86.1%自报
General
Include
81.0%自报
Arena-Hard v2
79.7%自报
BFCL-v3
71.9%自报
Language
MMLU-Redux
93.8%自报
MMLU-Pro
84.4%自报
MMLU-ProX
81.0%自报
Math
AIME 2025
92.3%自报
HMMT25
83.9%自报
LiveBench 20241125
78.4%自报
PolyMATH
60.1%自报
Reasoning
GPQANYU + Cohere + Anthropic (2023)
81.1%自报
LiveCodeBench v6
74.1%自报
SuperGPQA
64.9%自报
TAU-bench Airline
46.0%自报
OJBench
32.5%自报
Humanity's Last Exam
18.2%自报
Writing
WritingBench
88.3%自报
AA 评测指数
(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 112.0
Tau Banking7.8
LLM Stats 分类评分
(LLM Stats (zeroeval))Instruction Following80
Language80
Legal80
Structured Output80
Finance80
Healthcare80
Biology80
Creativity80
Writing80
Chat70
Math70
Physics70
Reasoning70
General70
Agents70
Chemistry70
Communication70
Multimodal60
Spatial Reasoning60
Economics60
Tool Calling60
Vision40
定价
输入价格$0.23 / 1M tokens
输出价格$2.3 / 1M tokens
混合价格(3:1)$0.747 / 1M tokens
缓存读取价格$0.0175 / 1M tokens
速度
Tokens/秒0.0
首Token延迟0.00s
首回答延迟0.00s
供应商价格排行
供应商价格排行
5 个供应商
最便宜: Alibaba最贵: NovitaAI
供应商输入输出
1Alibaba主要
$0.23
$2.3
2OpenRouter
$0.23
$2.3
3Kilo Gateway
$0.23
$2.3
4Jiekou.AI
$0.3
$3
5NovitaAI
$0.3
$3
比较该模型在不同 API 供应商之间的定价。