GLM-5.3 vs. K2-V2: comparación de lanzamientos
Comparación de los lanzamientos GLM-5.3 y K2-V2: 2 y 3 modelos respectivamente, cada uno con distintas características de inteligencia, rendimiento y precio. A continuación se comparan las métricas clave de los 5 modelos.
- En inteligencia, GLM-5.3 obtiene la puntuación más alta: GLM-5.3 (max), con 45, frente a K2-V2 (high), con 10 de K2-V2.
Inteligencia
Artificial Analysis Intelligence Index
Intelligence Index vs. Cost per Intelligence Index Task
Cost per Task (USD, Log Scale)
Costo
Cost per Intelligence Index Task
Velocidad y latencia
Output Speed
Puntuaciones de capacidades
Índices de capacidades
Incorporates 7 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, Humanity's Last Exam, AutomationBench-AA, AA-LCR v1.1, GDP.pdf · Higher is better
Incorporates 6 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, AutomationBench-AA, AA-LCR v1.1, GDP.pdf · Higher is better
Incorporates 7 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, Humanity's Last Exam, AA-LCR v1.1, GDP.pdf, AutomationBench-AA · Higher is better
Incorporates 6 evaluations: AA-Omniscience, GDPval-AA v2.1, AA-Briefcase v1.1, MLCR-AA, Humanity's Last Exam, AutomationBench-AA · Higher is better
Incorporates 6 evaluations: AA-Omniscience, Humanity's Last Exam, CritPt, GDPval-AA v2.1, AA-Briefcase v1.1, Terminal-Bench 4.0 · Higher is better
Incorporates 5 evaluations: AA-Omniscience, Humanity's Last Exam, GDPval-AA v2.1, AA-Briefcase v1.1, AA-LCR v1.1 · Higher is better
Más detalles
Modalidad de entrada | Modalidad de salida | Pesos | Benchmarks de proveedores | ||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| GLM-5.3 (max) |  Z AI | 45 | 45 | 48 | 42 | 47 | 47 | 51 | $2.01 | 0,9 US$ | $1.40 | $4.40 | $0.26 | 2503 US$ | 71k | 49k | 209M | 60 | 3.57s | 36.89s | 45.22s | 865.63s | 753B 40B activos en inferencia | 1M | ago 2026 | - | Sí | Admite: texto | Admite: texto |   +17 | |||
| GLM-5.3 (low) | Z AI | 34 | 35 | 39 | 33 | - | 38 | 41 | $3.66 | 1,7 US$ | $1.40 | $4.40 | - | 3294 US$ | 30k | 21k | 88M | 74 | 3.00s | 30.18s | 36.97s | 404.33s | 753B 40B activos en inferencia | 1M | ago 2026 | - | Sí | Admite: texto | Admite: texto | | |||
| K2-V2 (high) |  Institute of Foundation Models | 10 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 70B | 512k | dic 2025 | - | Sí | Admite: texto | Admite: texto | - | |||
| K2-V2 (medium) | Institute of Foundation Models | 9 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 70B | 512k | dic 2025 | - | Sí | Admite: texto | Admite: texto | - | |||
| K2-V2 (low) | Institute of Foundation Models | 7 | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 70B | 512k | dic 2025 | - | Sí | Admite: texto | Admite: texto | - | |||