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
37
general
55
coding
85
reasoning
58
science
40
agents
20
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 255 | 57.0 | AA |
| Ranking general | 209 | 53.0 | AA |
| Ciencia | 259 | 51.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Math
AIME 2025
93.9%Aut.
Reasoning
LiveCodeBench v6
82.8%Aut.
GPQANYU + Cohere + Anthropic (2023)
81.0%Aut.
SWE-Bench Verified
68.0%Aut.
BrowseCompOpenAI (2025)
45.1%Aut.
Terminal-Bench
40.5%Aut.
Humanity's Last Exam
17.2%Aut.
Índices de evaluación AA
(Artificial Analysis)Math Index(Artificial Analysis)86.0
Aime 25(MAA (Mathematical Association of America))86.0
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))82.9
Gpqa(NYU + Cohere + Anthropic (2023))78.0
Tau2(Sierra + U Toronto + Vector Institute (2025))70.5
Livecodebench(UC Berkeley + MIT + Cornell (2024))69.5
Lcr(Artificial Analysis)54.0
Terminalbench V2 149.4
Coding Index(Artificial Analysis)45.8
Ifbench(Google Research (2023))43.4
Terminalbench Hard(Stanford × Laude Institute (2026))25.0
Intelligence Index(Artificial Analysis)18.5
Hle(Center for AI Safety + Scale AI (2025))14.5
Tau Banking13.4
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Physics80
Biology80
Chemistry80
Frontend Development70
Math60
Reasoning60
General60
Search50
Code50
Agents40
Vision20
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
2 proveedores
Más barato: DeepInfraMás caro: Z AI
ProveedorEntradaSalida
1DeepInfraMás barato
$0
$0
2Z AIPRINCIPAL
$0.55
$2.2
Comparar precios entre diferentes proveedores de API para este modelo.