GLM-5.3 vs. Qwen3.8 27B: comparación de lanzamientos
Comparación de los lanzamientos GLM-5.3 y Qwen3.8 27B: 2 y 4 modelos respectivamente, cada uno con distintas características de inteligencia, rendimiento y precio. A continuación se comparan las métricas clave de los 6 modelos.
- En inteligencia, GLM-5.3 obtiene la puntuación más alta: GLM-5.3 (max), con 45, frente a Qwen3.8 27B (xhigh), con 34 de Qwen3.8 27B.
- En velocidad de salida, GLM-5.3 es el más rápido: GLM-5.3 (low), con 74 tokens/s, frente a Qwen3.8 27B (Non-reasoning), con 51 tokens/s de Qwen3.8 27B.
- En costo por tarea, Qwen3.8 27B es el más económico: Qwen3.8 27B (xhigh), con $1.01, frente a GLM-5.3 (max), con $2.01 de GLM-5.3.
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 | | |||
| Qwen3.8 27B (xhigh) |  Alibaba | 34 | 34 | 37 | 35 | 34 | 33 | 43 | $1.01 | 0,5 US$ | $0.50 | $3.00 | $0.10 | 1336 US$ | 67k | 48k | 198M | 42 | 4.03s | 51.66s | 63.57s | 1289.01s | 27B | 256k | ago 2026 | - | Sí | Admite: texto, imágenes y video | Admite: texto |   +4 | |||
| Qwen3.8 27B (medium) | Alibaba | 28 | 28 | 34 | 27 | - | 25 | 31 | $1.13 | 0,5 US$ | $0.50 | $3.00 | $0.10 | 1165 US$ | 52k | 32k | 113M | 49 | 3.83s | 44.47s | 54.62s | 1014.31s | 27B | 256k | ago 2026 | - | Sí | Admite: texto, imágenes y video | Admite: texto |  | |||
| Qwen3.8 27B (low) | Alibaba | 26 | 27 | 29 | 28 | - | 24 | 32 | $1.05 | 0,5 US$ | $0.50 | $3.00 | $0.10 | 1060 US$ | 45k | 26k | 82M | 49 | 3.84s | 44.90s | 55.17s | 856.80s | 27B | 256k | ago 2026 | - | Sí | Admite: texto, imágenes y video | Admite: texto | | |||
| Qwen3.8 27B (Non-reasoning) | Alibaba | 20 | 19 | 16 | 22 | - | 22 | 30 | $2.49 | 0,5 US$ | $0.50 | $3.00 | $0.10 | 2022 US$ | 30k | 0 | 43M | 51 | 3.90s | 3.90s | 13.80s | 568.10s | 27B | 256k | ago 2026 | - | No | Admite: texto, imágenes y video | Admite: texto |   | |||