Llama 3.2 Instruct 11B (Vision)
MetaLlamaOpen WeightLlama 3.2 Community License
Descripción
Llama 3.2 11B Vision Instruct is an instruction-tuned multimodal large language model optimized for visual recognition, image reasoning, captioning, and answering general questions about an image. It accepts text and images as input and generates text as output.
Fecha de lanzamiento
2024-09-25
Parámetros
10.6B
Longitud del contexto
—
Modalidades
image, text
Radar de capacidades
18
general
11
coding
13
reasoning
17
science
12
agents
90
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 596 | 9.0 | AA |
| Ranking general | 585 | 20.0 | AA |
| Ranking multimodal | 124 | 37.0 | LS |
| Ciencia | 648 | 11.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))General
MMLU
73.0%Aut.
Math
MGSM
68.9%Aut.
MATH
51.9%Aut.
MathVista
51.5%Aut.
Multimodal
MMMU
50.7%Aut.
Reasoning
ChartQAMasry et al. (2022)
83.4%Aut.
GPQANYU + Cohere + Anthropic (2023)
32.8%Aut.
Vision
AI2D
91.1%Aut.
DocVQADocVQA (2020)
88.4%Aut.
VQAv2 (test)
75.2%Aut.
MMMU-Pro
33.0%Aut.
Índices de evaluación AA
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))51.6
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))46.4
Ifbench(Google Research (2023))30.4
Gpqa(NYU + Cohere + Anthropic (2023))22.1
Tau2(Sierra + U Toronto + Vector Institute (2025))14.6
Lcr(Artificial Analysis)12.7
Livecodebench(UC Berkeley + MIT + Cornell (2024))11.0
Aime(MAA (Mathematical Association of America))9.3
Hle(Center for AI Safety + Scale AI (2025))5.5
Intelligence Index(Artificial Analysis)5.4
Math Index(Artificial Analysis)1.7
Aime 25(MAA (Mathematical Association of America))1.7
Terminalbench Hard(Stanford × Laude Institute (2026))0.8
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Image To Text90
Language70
Legal70
Multimodal70
Finance70
Vision70
Math60
Reasoning60
General60
Healthcare60
Physics30
Biology30
Chemistry30
Precios
Precio de entrada$0.345 / 1M tokens
Precio de salida$0.345 / 1M tokens
Precio mixto (3:1)$0.345 / 1M tokens
Velocidad
Tokens/seg15.1
Retraso del primer token1.54s
Tiempo hasta la respuesta1.54s
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
1 proveedores
ProveedorEntradaSalida
1MetaPRINCIPAL
$0.345
$0.345
Comparar precios entre diferentes proveedores de API para este modelo.