Llama 4 Maverick
MetaLlamaOpen WeightLlama 4 Community License Agreement
Descripción
Llama 4 Maverick is a natively multimodal model capable of processing both text and images. It features a 17 billion active parameter mixture-of-experts (MoE) architecture with 128 experts, supporting a wide range of multimodal tasks such as conversational interaction, image analysis, and code generation. The model includes a 1 million token context window.
Fecha de lanzamiento
2025-04-05
Parámetros
400.0B
Longitud del contexto
1.0M
Modalidades
image, text
Radar de capacidades
31
general
26
coding
39
reasoning
42
science
35
agents
90
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 434 | 30.0 | AA |
| Ranking general | 388 | 35.0 | AA |
| Ranking multimodal | 104 | 45.0 | LS |
| Ciencia | 394 | 38.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))General
MMLU
85.5%Aut.
Language
MMLU-Pro
80.5%Aut.
TydiQA
31.7%Aut.
Math
MGSM
92.3%Aut.
MathVista
73.7%Aut.
MATH
61.2%Aut.
Multimodal
MMMU
73.4%Aut.
Reasoning
ChartQAMasry et al. (2022)
90.0%Aut.
MBPP
0.78 / 100Aut.
GPQANYU + Cohere + Anthropic (2023)
69.8%Aut.
LiveCodeBench
43.4%Aut.
Vision
DocVQADocVQA (2020)
94.4%Aut.
MMMU-Pro
59.6%Aut.
Índices de evaluación AA
(Artificial Analysis)Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))88.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))80.9
Gpqa(NYU + Cohere + Anthropic (2023))67.1
Lcr(Artificial Analysis)50.0
Ifbench(Google Research (2023))43.0
Livecodebench(UC Berkeley + MIT + Cornell (2024))39.7
Aime(MAA (Mathematical Association of America))39.0
Scicode(UIUC + Argonne National Lab (2024))31.7
Aime 25(MAA (Mathematical Association of America))19.3
Math Index(Artificial Analysis)19.3
Tau2(Sierra + U Toronto + Vector Institute (2025))17.8
Coding Index(Artificial Analysis)16.3
Intelligence Index(Artificial Analysis)10.0
Terminalbench V2 17.9
Terminalbench Hard(Stanford × Laude Institute (2026))6.8
Hle(Center for AI Safety + Scale AI (2025))4.9
Tau Banking3.7
Terminalbench V4 00.0
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Image To Text90
Language80
Legal80
Math80
Multimodal80
Finance80
General80
Healthcare80
Vision80
Physics70
Reasoning70
Biology70
Chemistry70
Code40
Precios
Precio de entrada$0.26 / 1M tokens
Precio de salida$0.91 / 1M tokens
Precio mixto (3:1)$0.422 / 1M tokens
Velocidad
Tokens/seg84.8
Retraso del primer token0.59s
Tiempo hasta la respuesta0.59s
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
8 proveedores
Más barato: DeepInfraMás caro: Neon
ProveedorEntradaSalida
1DeepInfraMás barato
$0
$0
2NanoGPT
$0.15
$0.6
3Helicone
$0.15
$0.6
4OpenRouter
$0.1875
$0.6525
5Kilo Gateway
$0.1875
$0.6525
6DigitalOcean
$0.25
$0.87
7MetaPRINCIPAL
$0.26
$0.91
8Neon
$0.5
$1.5
Comparar precios entre diferentes proveedores de API para este modelo.