Qwen3 235B A22B 2507 Instruct
AlibabaQwen開源權重Apache 2.0 · 商用許可
描述
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.
發布日期
2025-07-21
參數規模
235.0B
上下文長度
262K
支援模態
text
能力雷達圖
37
general
49
coding
76
reasoning
49
science
60
agents
0
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Agents
BFCL-v3
70.9%自報
Biology
GPQANYU + Cohere + Anthropic (2023)
77.5%自報
Chemistry
SuperGPQA
62.6%自報
Code
Aider-Polyglot
57.3%自報
Communication
WritingBench
85.2%自報
Multi-IF
77.5%自報
Tau2 Retail
71.3%自報
Tau2 Airline
44.0%自報
Creativity
Creative Writing v3
87.5%自報
Arena-Hard v2
79.2%自報
Factuality
SimpleQA
54.3%自報
Finance
MMLU-Pro
83.0%自報
MMLU-ProX
79.4%自報
General
MMLU-Redux
93.1%自報
IFEvalGoogle Research (2023)
88.7%自報
MultiPL-E
87.9%自報
CSimpleQA
84.3%自報
Include
79.5%自報
LiveBench 20241125
75.4%自報
LiveCodeBench v6
51.8%自報
Math
AIME 2025
70.3%自報
HMMT25
55.4%自報
PolyMATH
50.2%自報
Reasoning
ZebraLogic
95.0%自報
ARC-AGI
41.8%自報
AA 評測指數
(Artificial Analysis)Math Index(Artificial Analysis)71.7
Intelligence Index(Artificial Analysis)18.4
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))1.0
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.8
Gpqa(NYU + Cohere + Anthropic (2023))0.8
Aime(MAA (Mathematical Association of America))0.7
Aime 25(MAA (Mathematical Association of America))0.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.5
Ifbench(Google Research (2023))0.5
Scicode(UIUC + Argonne National Lab (2024))0.4
Tau2(Sierra + U Toronto + Vector Institute (2025))0.3
Lcr(Artificial Analysis)0.3
Terminalbench Hard(Stanford × Laude Institute (2026))0.2
Hle(Center for AI Safety + Scale AI (2025))0.1
LLM Stats 分類評分
(LLM Stats (zeroeval))Legal80
Structured Output80
Instruction Following80
Language80
Finance80
Healthcare80
Biology80
Creativity80
Writing80
Math70
Physics70
Reasoning70
General70
Agents70
Chemistry70
Communication70
Code60
Economics60
Tool Calling60
Multimodal50
Spatial Reasoning50
Factuality50
Vision50
定價
輸入價格$0.7 / 1M tokens
輸出價格$2.8 / 1M tokens
混合價格(3:1)$1.225 / 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
7 個供應商
最便宜: Cortecs最貴: GreenPT
供應商輸入輸出
1Cortecs最便宜
$0.069
$0.455
2LLM Gateway
$0.09
$0.58
3Venice AI
$0.15
$0.75
4302.AI
$0.29
$1.143
5Alibaba主要
$0.7
$2.8
6Scaleway
$0.75
$2.25
7GreenPT
$1.026
$3.078
比較該模型在不同 API 供應商之間的定價。