Qwen3 235B A22B 2507 (Reasoning)
AlibabaQwen開源權重Apache 2.0 · 商用許可
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.
發布日期
2025-07-25
參數規模
235.0B
上下文長度
262K
支援模態
text
能力雷達圖
35
general
44
coding
92
reasoning
53
science
60
agents
0
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Chat
IFEvalGoogle Research (2023)
87.8%自報
Multi-IF
80.6%自報
TAU-bench Retail
67.8%自報
Tau2 Airline
58.0%自報
Code
CFEval
2134.00 / 10000自報
Communication
Tau2 Retail
71.9%自報
Tau2 Telecom
45.6%自報
Creativity
Creative Writing v3
86.1%自報
General
Include
81.0%自報
Arena-Hard v2
79.7%自報
BFCL-v3
71.9%自報
Language
MMLU-Redux
93.8%自報
MMLU-Pro
84.4%自報
MMLU-ProX
81.0%自報
Math
AIME 2025
92.3%自報
HMMT25
83.9%自報
LiveBench 20241125
78.4%自報
PolyMATH
60.1%自報
Reasoning
GPQANYU + Cohere + Anthropic (2023)
81.1%自報
LiveCodeBench v6
74.1%自報
SuperGPQA
64.9%自報
TAU-bench Airline
46.0%自報
OJBench
32.5%自報
Humanity's Last Exam
18.2%自報
Writing
WritingBench
88.3%自報
AA 評測指數
(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 分類評分
(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
定價
輸入價格$0.23 / 1M tokens
輸出價格$2.3 / 1M tokens
混合價格(3:1)$0.747 / 1M tokens
快取讀取價格$0.0175 / 1M tokens
速度
Tokens/秒0.0
首Token延遲0.00s
首回答延遲0.00s
供應商價格排行
供應商價格排行
5 個供應商
最便宜: Alibaba最貴: NovitaAI
供應商輸入輸出
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
比較該模型在不同 API 供應商之間的定價。