Qwen3.8 27B vs. NVIDIA Nemotron Nano 12B v2 VL: comparación de lanzamientos
Comparación de los lanzamientos Qwen3.8 27B y NVIDIA Nemotron Nano 12B v2 VL: 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, Qwen3.8 27B obtiene la puntuación más alta: Qwen3.8 27B (xhigh), con 34, frente a NVIDIA Nemotron Nano 12B v2 VL (Reasoning), con 7 de NVIDIA Nemotron Nano 12B v2 VL.
- En velocidad de salida, NVIDIA Nemotron Nano 12B v2 VL es el más rápido: NVIDIA Nemotron Nano 12B v2 VL (Non-reasoning), con 194 tokens/s, frente a Qwen3.8 27B (low), con 53 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 | 45 | 3.94s | 48.84s | 60.06s | 1048.68s | 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 | 53 | 3.86s | 41.77s | 51.25s | 967.61s | 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 | 53 | 3.82s | 41.72s | 51.19s | 815.31s | 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 | 573.93s | 27B | 256k | ago 2026 | - | No | Admite: texto, imágenes y video | Admite: texto | | |||
| NVIDIA Nemotron Nano 12B v2 VL (Reasoning) |  NVIDIA | 7 | - | - | - | - | - | - | - | 0,2 US$ | $0.20 | $0.60 | - | - | - | - | - | 134 | 5.61s | 20.55s | 24.28s | - | 13.2B | 128k | oct 2025 | - | Sí | Admite: texto e imágenes | Admite: texto | | |||
| NVIDIA Nemotron Nano 12B v2 VL (Non-reasoning) | NVIDIA | 6 | - | - | - | - | - | - | - | 0,2 US$ | $0.20 | $0.60 | - | - | - | - | - | 194 | 1.61s | 1.61s | 4.18s | - | 13.2B | 128k | oct 2025 | - | No | Admite: texto e imágenes | Admite: texto |  | |||