Qwen3 235B A22B 2507 (Reasoning)
AlibabaQwenオープンウエイトApache 2.0 · 商用利用可
説明
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.
リリース日
2025-07-25
パラメータ
235.0B
コンテキスト長
262K
モダリティ
text
能力レーダー
39
general
44
coding
92
reasoning
54
science
60
agents
0
multimodal
ランキング
| ドメイン | #順位 | スコア | ソース |
|---|---|---|---|
| エージェント能力 | 45 | 53.0 | LS |
| コーディングランキング | 219 | 50.0 | AA |
| 総合ランキング | 222 | 52.0 | AA |
| 科学 | 165 | 59.0 | AA |
ベンチマークスコア (LLM Stats)
(LLM Stats (zeroeval))Agents
BFCL-v3
71.9%自己申告
Biology
GPQANYU + Cohere + Anthropic (2023)
81.1%自己申告
Chemistry
SuperGPQA
64.9%自己申告
Code
CFEval
2134.00 / 10000自己申告
Communication
WritingBench
88.3%自己申告
Multi-IF
80.6%自己申告
Tau2 Retail
71.9%自己申告
TAU-bench Retail
67.8%自己申告
Tau2 Airline
58.0%自己申告
TAU-bench Airline
46.0%自己申告
Tau2 Telecom
45.6%自己申告
Creativity
Creative Writing v3
86.1%自己申告
Arena-Hard v2
79.7%自己申告
Finance
MMLU-Pro
84.4%自己申告
MMLU-ProX
81.0%自己申告
General
MMLU-Redux
93.8%自己申告
IFEvalGoogle Research (2023)
87.8%自己申告
Include
81.0%自己申告
LiveBench 20241125
78.4%自己申告
LiveCodeBench v6
74.1%自己申告
Math
AIME 2025
92.3%自己申告
HMMT25
83.9%自己申告
PolyMATH
60.1%自己申告
Humanity's Last Exam
18.2%自己申告
Reasoning
OJBench
32.5%自己申告
AA評価指数
(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 10.1
Tau Banking0.1
LLM Statsカテゴリスコア
(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
価格設定
入力価格$0.7 / 1Mトークン
出力価格$8.4 / 1Mトークン
混合価格(3:1)$2.625 / 1Mトークン
速度
トークン/秒0.0
初トークン遅延0.00s
初回答遅延0.00s
プロバイダー価格ランキング
プロバイダー価格ランキング
5 プロバイダー
最安: OpenRouter最高: Alibaba
プロバイダー入力出力
1OpenRouter最安
$0.23
$2.3
2Kilo Gateway
$0.23
$2.3
3Jiekou.AI
$0.3
$3
4NovitaAI
$0.3
$3
5Alibabaプライマリ
$0.7
$8.4
このモデルの異なるAPIプロバイダー間の価格を比較。