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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

39
general
44
coding
92
reasoning
54
science
60
agents
0
multimodal

排行榜排名

领域#排名分数来源
智能体能力模型榜45
53.0
LS
代码能力榜228
50.0
AA
通用能力榜230
52.0
AA
科学能力175
59.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

BFCL-v371.9%自报

Biology

GPQANYU + Cohere + Anthropic (2023)81.1%自报

Chemistry

SuperGPQA64.9%自报

Code

CFEval2134.00 / 10000自报

Communication

WritingBench88.3%自报
Multi-IF80.6%自报
Tau2 Retail71.9%自报
TAU-bench Retail67.8%自报
Tau2 Airline58.0%自报
TAU-bench Airline46.0%自报
Tau2 Telecom45.6%自报

Creativity

Creative Writing v386.1%自报
Arena-Hard v279.7%自报

Finance

MMLU-Pro84.4%自报
MMLU-ProX81.0%自报

General

MMLU-Redux93.8%自报
IFEvalGoogle Research (2023)87.8%自报
Include81.0%自报
LiveBench 2024112578.4%自报
LiveCodeBench v674.1%自报

Math

AIME 202592.3%自报
HMMT2583.9%自报
PolyMATH60.1%自报
Humanity's Last Exam18.2%自报

Reasoning

OJBench32.5%自报

AA 评测指数

(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 1
0.1
Tau Banking
0.1

LLM Stats 分类评分

(LLM Stats (zeroeval))
Legal
80
Structured Output
80
Instruction Following
80
Language
80
Finance
80
Healthcare
80
Biology
80
Creativity
80
Writing
80
Math
70
Physics
70
Reasoning
70
General
70
Agents
70
Chemistry
70
Communication
70
Multimodal
60
Spatial Reasoning
60
Economics
60
Tool Calling
60
Vision
40

定价

输入价格$0.7 / 1M tokens
输出价格$8.4 / 1M tokens
混合价格(3:1)$2.625 / 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

6 个供应商

最便宜: TensorX最贵: Alibaba
供应商输入输出
1TensorX最便宜
$0.072
$0.464
2OpenRouter
$0.23
$2.3
3Kilo Gateway
$0.23
$2.3
4Jiekou.AI
$0.3
$3
5NovitaAI
$0.3
$3
6Alibaba主要
$0.7
$8.4

比较该模型在不同 API 供应商之间的定价。

外部链接