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
39
general
44
coding
92
reasoning
54
science
60
agents
0
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Agents
BFCL-v3
71.9%自報
Biology
GPQANYU + Cohere + Anthropic (2023)
81.1%自報
Chemistry
SuperGPQA
64.9%自報
Code
CFEval
2134.00 / 10000自報
Communication
WritingBench
88.3%自報
Multi-IF
80.6%自報
Tau2 Retail
71.9%自報
TAU-bench Retail
67.8%自報
Tau2 Airline
58.0%自報
TAU-bench Airline
46.0%自報
Tau2 Telecom
45.6%自報
Creativity
Creative Writing v3
86.1%自報
Arena-Hard v2
79.7%自報
Finance
MMLU-Pro
84.4%自報
MMLU-ProX
81.0%自報
General
MMLU-Redux
93.8%自報
IFEvalGoogle Research (2023)
87.8%自報
Include
81.0%自報
LiveBench 20241125
78.4%自報
LiveCodeBench v6
74.1%自報
Math
AIME 2025
92.3%自報
HMMT25
83.9%自報
PolyMATH
60.1%自報
Humanity's Last Exam
18.2%自報
Reasoning
OJBench
32.5%自報
AA 評測指數
(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 分類評分
(LLM Stats (zeroeval))Instruction Following80
Language80
Legal80
Structured Output80
Finance80
Healthcare80
Biology80
Creativity80
Writing80
Math70
Physics70
Reasoning70
General70
Agents70
Chemistry70
Communication70
Multimodal60
Spatial Reasoning60
Economics60
Tool Calling60
Vision40
定價
輸入價格$0.7 / 1M tokens
輸出價格$8.4 / 1M tokens
混合價格(3:1)$2.625 / 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: OpenRouter最貴: Alibaba
供應商輸入輸出
1OpenRouter最便宜
$0.23
$2.3
2Kilo Gateway
$0.23
$2.3
3Jiekou.AI
$0.3
$3
4NovitaAI
$0.3
$3
5Alibaba主要
$0.7
$8.4
比較該模型在不同 API 供應商之間的定價。