Saltar al contenido principal

GLM-5.1 (Reasoning)

Z AIGLMOpen WeightMIT · Uso Comercial

Descripción

GLM-5.1 is Z.AI's next-generation flagship foundation model designed for long-horizon agentic engineering tasks. Built on a 754B MoE architecture (40B active parameters), it can work continuously and autonomously on a single task for up to 8 hours, completing the full loop from planning and execution to iterative optimization and delivery. GLM-5.1 achieves state-of-the-art on SWE-Bench Pro (58.4) and demonstrates strong performance across coding, reasoning, and agentic benchmarks. It supports 200K context length, 128K max output tokens, thinking mode, function calling, structured output, context caching, and MCP integration. Overall performance is aligned with Claude Opus 4.6 with particular strengths in sustained execution and complex engineering optimization.

Fecha de lanzamiento
2026-04-07
Parámetros
754.0B
Longitud del contexto
200K
Modalidades
text

Radar de capacidades

27
general
54
coding
87
reasoning
61
science
60
agents
0
multimodal

Rankings

Dominio#PosiciónPuntuaciónFuente
Capacidad agéntica46
49.0
LS
Ranking de codificación162
71.0
AA
Ranking general85
68.0
AA
Ciencia137
67.0
AA

Puntuaciones de benchmarks (LLM Stats)

(LLM Stats (zeroeval))

Agents

TAU3-Bench70.6%Aut.
Finance Agent v244.8%
Toolathlon40.7%Aut.

Code

CyberGym68.7%Aut.
NL2Repo42.7%Aut.
FrontierSWE31.0%

Math

AIME 202695.3%Aut.
HMMT 202594.0%Aut.
IMO-AnswerBench83.8%Aut.
HMMT Feb 2682.6%Aut.
LiveBench70.2%

Reasoning

Vending-Bench 2563441.0%Aut.
GPQANYU + Cohere + Anthropic (2023)86.2%Aut.
BrowseCompOpenAI (2025)79.3%Aut.
MCP Atlas71.8%Aut.
Terminal-Bench 2.0Stanford × Laude Institute (2026)69.0%Aut.
SWE-Bench ProPrinceton NLP (2024)58.4%Aut.
Humanity's Last Exam52.3%Aut.

Índices de evaluación AA

(Artificial Analysis)
Tau2(Sierra + U Toronto + Vector Institute (2025))
97.7
Gpqa(NYU + Cohere + Anthropic (2023))
86.8
Ifbench(Google Research (2023))
76.3
Lcr(Artificial Analysis)
73.7
Terminalbench V2 1
61.8
Coding Index(Artificial Analysis)
55.8
Scicode(UIUC + Argonne National Lab (2024))
44.8
Terminalbench Hard(Stanford × Laude Institute (2026))
43.2
Hle(Center for AI Safety + Scale AI (2025))
30.1
Intelligence Index(Artificial Analysis)
26.1
Tau Banking
13.6

Puntuaciones por categoría LLM Stats

(LLM Stats (zeroeval))
Agents
100
Reasoning
100
General
100
Physics
90
Biology
90
Chemistry
90
Math
80
Search
80
Safety
70
Code
60
Tool Calling
60
Vision
50
Finance
40

Precios

Precio de entrada$1.285 / 1M tokens
Precio de salida$4.07 / 1M tokens
Precio mixto (3:1)$1.981 / 1M tokens
Precio de lectura caché$0.26 / 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

5 proveedores

Más barato: DeepInfraMás caro: Z AI
ProveedorEntradaSalida
1DeepInfraMás barato
$0
$0
2FriendliAI
$0
$0
3ZAI
$0
$0
4EmpirioLabs AI
$0.825
$3.301
5Z AIPRINCIPAL
$1.285
$4.07

Comparar precios entre diferentes proveedores de API para este modelo.

Fuentes externas