Qwen3.8 27B vs. DeepSeek V4 Pro 0813: comparación de lanzamientos
Comparación de los lanzamientos Qwen3.8 27B y DeepSeek V4 Pro 0813: 4 y 2 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, DeepSeek V4 Pro 0813 obtiene la puntuación más alta: DeepSeek V4 Pro 0813 (Reasoning, Max Effort), con 36, frente a Qwen3.8 27B (xhigh), con 34 de Qwen3.8 27B.
- En velocidad de salida, DeepSeek V4 Pro 0813 es el más rápido: DeepSeek V4 Pro 0813 (Non-reasoning), con 211 tokens/s, frente a Qwen3.8 27B (Non-reasoning), con 51 tokens/s de Qwen3.8 27B.
- En costo por tarea, DeepSeek V4 Pro 0813 es el más económico: DeepSeek V4 Pro 0813 (Non-reasoning), con $0.48, frente a Qwen3.8 27B (xhigh), con $1.01 de Qwen3.8 27B.
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 | ||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DeepSeek V4 Pro 0813 (Reasoning, Max Effort) | 36 | 41 | 46 | 41 | 38 | 37 | 44 | $0.67 | 0,7 US$ | $1.32 | $3.96 | $0.044 | 1122 US$ | 55k | 38k | 163M | 81 | 1.67s | 26.35s | 32.52s | 540.27s | 1.6T 49B activos en inferencia | 1M | ago 2026 | - | Sí | Admite: texto | Admite: texto | +8 | ||||
| Qwen3.8 27B (xhigh) | 34 | 34 | 37 | 35 | 34 | 33 | 43 | $1.01 | 0,5 US$ | $0.50 | $3.00 | $0.10 | 1336 US$ | 67k | 48k | 198M | 44 | 3.87s | 49.51s | 60.92s | 1240.77s | 27B | 256k | ago 2026 | - | Sí | Admite: texto, imágenes y video | Admite: texto | +4 | ||||
| Qwen3.8 27B (medium) | 28 | 28 | 34 | 27 | - | 25 | 31 | $1.13 | 0,5 US$ | $0.50 | $3.00 | $0.10 | 1165 US$ | 52k | 32k | 113M | 49 | 3.88s | 44.80s | 55.03s | 1020.65s | 27B | 256k | ago 2026 | - | Sí | Admite: texto, imágenes y video | Admite: texto | |||||
| Qwen3.8 27B (low) | 26 | 27 | 29 | 28 | - | 24 | 32 | $1.05 | 0,5 US$ | $0.50 | $3.00 | $0.10 | 1060 US$ | 45k | 26k | 82M | 50 | 3.85s | 44.08s | 54.14s | 908.30s | 27B | 256k | ago 2026 | - | Sí | Admite: texto, imágenes y video | Admite: texto | |||||
| DeepSeek V4 Pro 0813 (Non-reasoning) | 20 | 26 | 32 | 27 | - | 22 | 26 | $0.48 | 0,7 US$ | $1.32 | $3.96 | $0.044 | 566 US$ | 29k | 0 | 40M | 211 | 2.18s | 2.18s | 4.54s | 137.84s | 1.6T 49B activos en inferencia | 1M | ago 2026 | - | No | Admite: texto | Admite: texto | |||||
| Qwen3.8 27B (Non-reasoning) | 20 | 19 | 16 | 22 | - | 22 | 30 | $2.49 | 0,5 US$ | $0.50 | $3.00 | $0.10 | 2022 US$ | 30k | 0 | 43M | 51 | 3.86s | 3.86s | 13.72s | 569.44s | 27B | 256k | ago 2026 | - | No | Admite: texto, imágenes y video | Admite: texto | |||||