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GLM-4.7 (Reasoning)

Z AIGLM开源权重MIT · 商用许可

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.

发布日期
2025-12-22
参数规模
358.0B
上下文长度
205K
支持模态
text

能力雷达图

42
general
62
coding
93
reasoning
68
science
60
agents
0
multimodal

排行榜排名

领域#排名分数来源
代码能力榜199
67.0
AA
通用能力榜92
68.0
AA
科学能力152
66.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

General

Tau-bench87.4%自报

Language

MMLU-Pro84.3%自报

Math

AIME 202595.7%自报
IMO-AnswerBench82.0%自报

Reasoning

GPQANYU + Cohere + Anthropic (2023)85.7%自报
LiveCodeBench v684.9%自报
SWE-Bench Verified73.8%自报
SWE-bench Multilingual66.7%自报
BrowseComp-zh66.6%自报
BrowseCompOpenAI (2025)52.0%自报
Humanity's Last Exam42.8%自报
Terminal-Bench 2.0Stanford × Laude Institute (2026)41.0%自报
Terminal-Bench33.3%自报

AA 评测指数

(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 1
45.3
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 Banking
12.2

LLM Stats 分类评分

(LLM Stats (zeroeval))
Physics
90
Biology
90
Chemistry
90
Language
80
Legal
80
Math
80
Finance
80
Healthcare
80
Reasoning
70
Frontend Development
70
General
70
Search
60
Tool Calling
60
Agents
50
Code
50
Vision
40

定价

输入价格$0.6 / 1M tokens
输出价格$2.2 / 1M tokens
混合价格(3:1)$1 / 1M tokens
缓存读取价格$0.11 / 1M tokens
缓存写入价格免费

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

2 个供应商

最便宜: DeepInfra最贵: Z AI
供应商输入输出
1DeepInfra最便宜
$0
$0
2Z AI主要
$0.6
$2.2

比较该模型在不同 API 供应商之间的定价。

外部链接