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AITier

GLM-4.6 (Reasoning)

Z AIGLM开源权重MIT · 商用许可

描述

GLM-4.6 is the latest version of Z.ai's flagship model, bringing significant improvements over GLM-4.5. Key features include: 200K token context window (expanded from 128K), superior coding performance with better real-world application in Claude Code/Cline/Roo Code/Kilo Code, advanced reasoning with tool use during inference, stronger agent capabilities, and refined writing aligned with human preferences. GLM-4.6 achieves competitive performance with DeepSeek-V3.2-Exp and Claude Sonnet 4, reaching near parity with Claude Sonnet 4 (48.6% win rate) on CC-Bench real-world coding tasks.

发布日期
2025-09-30
参数规模
357.0B
上下文长度
205K
支持模态
image, text, video

能力雷达图

43
general
53
coding
85
reasoning
51
science
40
agents
20
multimodal

排行榜排名

领域#排名分数来源
智能体能力模型榜67
47.0
LS
代码能力榜174
59.0
AA
通用能力榜169
60.0
AA
科学能力195
56.0
AA

基准测试分数 (LLM Stats)

(LLM Stats (zeroeval))

Agents

BrowseCompOpenAI (2025)45.1%自报
Terminal-Bench40.5%自报

Biology

GPQANYU + Cohere + Anthropic (2023)81.0%自报

Code

SWE-Bench Verified68.0%自报

General

LiveCodeBench v682.8%自报

Math

AIME 202593.9%自报
Humanity's Last Exam17.2%自报

AA 评测指数

(Artificial Analysis)
Math Index(Artificial Analysis)
86.0
Coding Index(Artificial Analysis)
45.8
Intelligence Index(Artificial Analysis)
29.3
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
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.7
Lcr(Artificial Analysis)
0.6
Terminalbench V2 1
0.5
Ifbench(Google Research (2023))
0.4
Scicode(UIUC + Argonne National Lab (2024))
0.4
Terminalbench Hard(Stanford × Laude Institute (2026))
0.3
Hle(Center for AI Safety + Scale AI (2025))
0.1
Tau Banking
0.1

LLM Stats 分类评分

(LLM Stats (zeroeval))
Physics
80
Biology
80
Chemistry
80
Frontend Development
70
Math
60
Reasoning
60
General
60
Search
50
Code
50
Agents
40
Vision
20

定价

输入价格$0.55 / 1M tokens
输出价格$2.2 / 1M tokens
混合价格(3:1)$0.963 / 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

1 个供应商

供应商输入输出
1Z AI主要
$0.55
$2.2

比较该模型在不同 API 供应商之间的定价。

外部链接

LLM StatsArtificial Analysis