Qwen3.8 27B vs. Nova 2.0 Pro Preview: comparación de lanzamientos
Comparación de los lanzamientos Qwen3.8 27B y Nova 2.0 Pro Preview: 4 y 3 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, Qwen3.8 27B obtiene la puntuación más alta: Qwen3.8 27B (xhigh), con 34, frente a Nova 2.0 Pro Preview (medium), con 14 de Nova 2.0 Pro Preview.
- En velocidad de salida, Nova 2.0 Pro Preview es el más rápido: Nova 2.0 Pro Preview (medium), con 120 tokens/s, frente a Qwen3.8 27B (low), con 51 tokens/s de Qwen3.8 27B.
Lanzamientos comparados
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 | ||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Qwen3.8 27B (xhigh) |  Alibaba | 34 | 34 | 37 | 35 | 34 | 33 | 43 | $0.82 | 0,4 US$ | $0.50 | $3.00 | $0.05 | 1170 US$ | 67k | 48k | 198M | 41 | 4.00s | 52.49s | 64.61s | 1340.79s | 27B | 256k | ago 2026 | - | Sí | Admite: texto, imágenes y video | Admite: texto |   +2 | |||
| Qwen3.8 27B (medium) | Alibaba | 28 | 28 | 34 | 27 | - | 25 | 31 | $0.90 | 0,4 US$ | $0.50 | $3.00 | $0.05 | 977 US$ | 52k | 32k | 113M | 49 | 3.86s | 44.49s | 54.65s | 999.15s | 27B | 256k | ago 2026 | - | Sí | Admite: texto, imágenes y video | Admite: texto |  | |||
| Qwen3.8 27B (low) | Alibaba | 26 | 27 | 29 | 28 | - | 24 | 32 | $0.83 | 0,4 US$ | $0.50 | $3.00 | $0.05 | 876 US$ | 45k | 26k | 82M | 51 | 3.84s | 43.06s | 52.86s | 834.86s | 27B | 256k | ago 2026 | - | Sí | Admite: texto, imágenes y video | Admite: texto | | |||
| Qwen3.8 27B (Non-reasoning) | Alibaba | 20 | 19 | 16 | 22 | - | 22 | 30 | $1.91 | 0,4 US$ | $0.50 | $3.00 | $0.05 | 1570 US$ | 30k | 0 | 43M | 49 | 3.87s | 3.87s | 14.06s | 560.61s | 27B | 256k | ago 2026 | - | No | Admite: texto, imágenes y video | Admite: texto | | |||
| Nova 2.0 Pro Preview (medium) |  Amazon | 14 | - | - | - | - | - | - | - | 1,5 US$ | $1.25 | $10.00 | $0.312 | - | - | - | - | 120 | 14.36s | 31.04s | 35.21s | - | - | 256k | nov 2025 | - | Sí | Admite: texto e imágenes | Admite: texto | No disponible | - | | |
| Nova 2.0 Pro Preview (low) | Amazon | 13 | - | - | - | - | - | - | - | 2,1 US$ | $1.25 | $10.00 | - | - | - | - | - | 111 | 11.70s | 29.69s | 34.18s | - | - | 256k | nov 2025 | - | Sí | Admite: texto e imágenes | Admite: texto | No disponible | - | | |
| Nova 2.0 Pro Preview (Non-reasoning) | Amazon | 10 | - | - | - | - | - | - | - | 2,1 US$ | $1.25 | $10.00 | - | - | - | - | - | 104 | 0.97s | 0.97s | 5.76s | - | - | 256k | nov 2025 | - | No | Admite: texto e imágenes | Admite: texto | No disponible | - | | |