GLM-4.5-Air
Z AIGLM開源權重MIT · 商用許可
描述
GLM-4.5-Air is a more compact variant of GLM-4.5 designed for efficient Agentic, Reasoning, and Coding (ARC) applications. It features 106 billion total parameters with 12 billion active parameters using MoE architecture. Like GLM-4.5, it is a hybrid reasoning model providing thinking mode for complex reasoning and tool usage, and non-thinking mode for immediate responses. Despite its compact design, GLM-4.5-Air delivers competitive performance with a score of 59.8 across 12 industry-standard benchmarks, ranking 6th overall while maintaining superior efficiency. It supports 128K context length and is released under MIT open-source license allowing commercial use.
發布日期
2025-07-28
參數規模
106.0B
上下文長度
131K
支援模態
text
能力雷達圖
35
general
60
coding
79
reasoning
45
science
70
agents
0
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))Agents
BFCL-v3
76.4%自報
Terminal-Bench
30.0%自報
BrowseCompOpenAI (2025)
21.3%自報
Biology
GPQANYU + Cohere + Anthropic (2023)
75.0%自報
SciCode
37.3%自報
Code
LiveCodeBench
70.7%自報
SWE-Bench Verified
57.6%自報
Communication
TAU-bench Retail
77.9%自報
TAU-bench Airline
60.8%自報
Finance
MMLU-Pro
81.4%自報
General
AA-Index
64.8%自報
Math
MATH-500
98.1%自報
AIME 2024
89.4%自報
Humanity's Last Exam
10.6%自報
AA 評測指數
(Artificial Analysis)Math Index(Artificial Analysis)80.7
Intelligence Index(Artificial Analysis)16.7
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
Aime 25(MAA (Mathematical Association of America))0.8
Gpqa(NYU + Cohere + Anthropic (2023))0.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.7
Aime(MAA (Mathematical Association of America))0.7
Tau2(Sierra + U Toronto + Vector Institute (2025))0.5
Lcr(Artificial Analysis)0.5
Ifbench(Google Research (2023))0.4
Scicode(UIUC + Argonne National Lab (2024))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
Language80
Finance80
Healthcare80
Communication70
Tool Calling70
Math60
Physics60
Reasoning60
Frontend Development60
General60
Biology60
Chemistry60
Code50
Agents40
Search20
Vision10
定價
輸入價格$0.17 / 1M tokens
輸出價格$0.98 / 1M tokens
混合價格(3:1)$0.372 / 1M tokens
快取讀取價格$0.03 / 1M tokens
快取寫入價格免費
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
9 個供應商
最便宜: ZenMux最貴: OrcaRouter
供應商輸入輸出
1ZenMux最便宜
$0.11
$0.56
2302.AI
$0.1143
$0.286
3OpenRouter
$0.13
$0.85
4Kilo Gateway
$0.13
$0.85
5LLM Gateway
$0.13
$0.85
6Z AI主要
$0.17
$0.98
7Z.AI
$0.2
$1.1
8Zhipu AI
$0.2
$1.1
9OrcaRouter
$0.2
$1.1
比較該模型在不同 API 供應商之間的定價。