GLM-4.7 (Reasoning)
Z AIGLM開源權重MIT · 商用許可
描述
GLM 4.7 is a coding‑centric model that thinks before acting, preserves its reasoning across turns, and lets you control thinking per request for speed or accuracy. It upgrades agentic workflows with stronger multi‑step tool use, better terminal and multilingual coding, and a noticeable jump in UI output quality for modern, clean webpages and slides. You can use it in popular coding agents, call it via the Z.ai API, and even run it locally with public weights on HuggingFace and ModelScope using vLLM or SGLang.
發布日期
2025-12-22
參數規模
358.0B
上下文長度
205K
支援模態
text
能力雷達圖
42
general
62
coding
93
reasoning
68
science
60
agents
0
multimodal
排行榜排名
基準測試分數 (LLM Stats)
(LLM Stats (zeroeval))General
Tau-bench
87.4%自報
Language
MMLU-Pro
84.3%自報
Math
AIME 2025
95.7%自報
IMO-AnswerBench
82.0%自報
Reasoning
GPQANYU + Cohere + Anthropic (2023)
85.7%自報
LiveCodeBench v6
84.9%自報
SWE-Bench Verified
73.8%自報
SWE-bench Multilingual
66.7%自報
BrowseComp-zh
66.6%自報
BrowseCompOpenAI (2025)
52.0%自報
Humanity's Last Exam
42.8%自報
Terminal-Bench 2.0Stanford × Laude Institute (2026)
41.0%自報
Terminal-Bench
33.3%自報
AA 評測指數
(Artificial Analysis)Tau2(Sierra + U Toronto + Vector Institute (2025))95.9
Math Index(Artificial Analysis)95.0
Aime 25(MAA (Mathematical Association of America))95.0
Livecodebench(UC Berkeley + MIT + Cornell (2024))89.4
Gpqa(NYU + Cohere + Anthropic (2023))85.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))85.6
Lcr(Artificial Analysis)71.0
Ifbench(Google Research (2023))67.9
Terminalbench V2 145.3
Coding Index(Artificial Analysis)45.3
Terminalbench Hard(Stanford × Laude Institute (2026))31.8
Hle(Center for AI Safety + Scale AI (2025))27.4
Intelligence Index(Artificial Analysis)22.2
Tau Banking12.2
LLM Stats 分類評分
(LLM Stats (zeroeval))Physics90
Biology90
Chemistry90
Language80
Legal80
Math80
Finance80
Healthcare80
Reasoning70
Frontend Development70
General70
Search60
Tool Calling60
Agents50
Code50
Vision40
定價
輸入價格$0.6 / 1M tokens
輸出價格$2.2 / 1M tokens
混合價格(3:1)$1 / 1M tokens
快取讀取價格$0.11 / 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
2 個供應商
最便宜: DeepInfra最貴: Z AI
供應商輸入輸出
1DeepInfra最便宜
$0
$0
2Z AI主要
$0.6
$2.2
比較該模型在不同 API 供應商之間的定價。