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AITier

GLM-4.6 (Reasoning)

Z AIGLMOpen WeightMIT · Uso Comercial

Descripción

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.

Fecha de lanzamiento
2025-09-30
Parámetros
357.0B
Longitud del contexto
205K
Modalidades
image, text, video

Radar de capacidades

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

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica67
47.0
LS
Ranking de codificación174
59.0
AA
Ranking general169
60.0
AA
Ciencia195
56.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

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

Biology

GPQANYU + Cohere + Anthropic (2023)81.0%Aut.

Code

SWE-Bench Verified68.0%Aut.

General

LiveCodeBench v682.8%Aut.

Math

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

Índices de evaluación AA

(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

Puntuaciones por categoría LLM Stats

(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

Precios

Precio de entrada$0.55 / 1M tokens
Precio de salida$2.2 / 1M tokens
Precio mixto (3:1)$0.963 / 1M tokens
Precio de lectura caché$0.11 / 1M tokens
Precio de escritura cachéGratis

Velocidad

Tokens/seg0.0
Retraso del primer token0.00s
Tiempo hasta la respuesta0.00s

Ranking de Precios por Proveedor

Ranking de Precios por Proveedor

1 proveedores

ProveedorEntradaSalida
1Z AIPRINCIPAL
$0.55
$2.2

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas

LLM StatsArtificial Analysis