Claude Sonnet 5.5 vs. GLM-5.3: comparación de lanzamientos
Comparación de los lanzamientos Claude Sonnet 5.5 y GLM-5.3: 5 y 2 modelos respectivamente, cada uno con distintas características de inteligencia, rendimiento y precio. A continuación se comparan las métricas clave de los 7 modelos.
- En inteligencia, Claude Sonnet 5.5 obtiene la puntuación más alta: Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback), con 56, frente a GLM-5.3 (max), con 45 de GLM-5.3.
- En costo por tarea, Claude Sonnet 5.5 es el más económico: Claude Sonnet 5.5 (Adaptive Reasoning, Low Effort, Default Fallback), con $0.41, frente a GLM-5.3 (low), con $0.85 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 | ||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Claude Sonnet 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) | 56 | 57 | 60 | 56 | - | 58 | 61 | $7.60 | 1,5 US$ | $2.00 | $10.00 | $0.20 | 8977 US$ | 193k | 142k | 411M | - | - | - | - | - | - | 1M | sept 2026 | - | Sí | Admite: texto e imágenes | Admite: texto | No disponible | - | |||
| Claude Sonnet 5.5 (Adaptive Reasoning, Xhigh Effort, Default Fallback) | 52 | 52 | 56 | 52 | - | 54 | 56 | $2.74 | 1,5 US$ | $2.00 | $10.00 | $0.20 | 2738 US$ | 74k | 48k | 104M | - | - | - | - | - | - | 1M | sept 2026 | - | Sí | Admite: texto e imágenes | Admite: texto | No disponible | - | |||
| Claude Sonnet 5.5 (Adaptive Reasoning, High Effort, Default Fallback) | 47 | 47 | 52 | 49 | - | 48 | 52 | $1.08 | 1,5 US$ | $2.00 | $10.00 | $0.20 | 1176 US$ | 34k | 18k | 50M | - | - | - | - | - | - | 1M | sept 2026 | - | Sí | Admite: texto e imágenes | Admite: texto | No disponible | - | |||
| GLM-5.3 (max) | 45 | 45 | 48 | 42 | 47 | 47 | 51 | $2.01 | 0,9 US$ | $1.40 | $4.40 | $0.26 | 2503 US$ | 71k | 49k | 209M | 91 | 2.62s | 24.68s | 30.19s | 644.31s | 753B 40B activos en inferencia | 1M | ago 2026 | - | Sí | Admite: texto | Admite: texto | +17 | ||||
| Claude Sonnet 5.5 (Adaptive Reasoning, Medium Effort, Default Fallback) | 41 | 41 | 45 | 44 | - | 42 | 47 | $0.59 | 1,5 US$ | $2.00 | $10.00 | $0.20 | 701 US$ | 19k | 8k | 29M | - | - | - | - | - | - | 1M | sept 2026 | - | Sí | Admite: texto e imágenes | Admite: texto | No disponible | - | |||
| Claude Sonnet 5.5 (Adaptive Reasoning, Low Effort, Default Fallback) | 36 | 37 | 41 | 40 | - | 38 | 44 | $0.41 | 1,5 US$ | $2.00 | $10.00 | $0.20 | 544 US$ | 14k | 5k | 23M | - | - | - | - | - | - | 1M | sept 2026 | - | Sí | Admite: texto e imágenes | Admite: texto | No disponible | - | |||
| GLM-5.3 (low) | 34 | 35 | 39 | 33 | - | 38 | 41 | $0.85 | 0,9 US$ | $1.40 | $4.40 | $0.26 | 1013 US$ | 30k | 21k | 88M | 80 | 3.10s | 28.16s | 34.42s | 375.44s | 753B 40B activos en inferencia | 1M | ago 2026 | - | Sí | Admite: texto | Admite: texto | |||||