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
33
general
26
coding
39
reasoning
43
science
35
agents
90
multimodal
Rankings
| Dominio | #Posición | Puntuación | Fuente |
|---|---|---|---|
| Ranking de codificación | 331 | 31.0 | AA |
| Ranking general | 311 | 39.0 | AA |
| Ciencia | 305 | 43.0 | AA |
Puntuaciones de benchmarks (LLM Stats)
(LLM Stats (zeroeval))Biology
GPQANYU + Cohere + Anthropic (2023)
69.8%Aut.
Code
LiveCodeBench
43.4%Aut.
Finance
MMLU
85.5%Aut.
MMLU-Pro
80.5%Aut.
General
MBPP
0.78 / 100Aut.
MMMU
73.4%Aut.
MMMU-Pro
59.6%Aut.
Image To Text
DocVQADocVQA (2020)
94.4%Aut.
Language
TydiQA
31.7%Aut.
Math
MGSM
92.3%Aut.
MathVista
73.7%Aut.
MATH
61.2%Aut.
Multimodal
ChartQAMasry et al. (2022)
90.0%Aut.
Índices de evaluación AA
(Artificial Analysis)Math Index(Artificial Analysis)19.3
Coding Index(Artificial Analysis)16.3
Intelligence Index(Artificial Analysis)14.5
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))0.9
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))0.8
Gpqa(NYU + Cohere + Anthropic (2023))0.7
Lcr(Artificial Analysis)0.5
Ifbench(Google Research (2023))0.4
Livecodebench(UC Berkeley + MIT + Cornell (2024))0.4
Aime(MAA (Mathematical Association of America))0.4
Scicode(UIUC + Argonne National Lab (2024))0.3
Aime 25(MAA (Mathematical Association of America))0.2
Tau2(Sierra + U Toronto + Vector Institute (2025))0.2
Terminalbench V2 10.1
Terminalbench Hard(Stanford × Laude Institute (2026))0.1
Hle(Center for AI Safety + Scale AI (2025))0.0
Tau Banking0.0
Puntuaciones por categoría LLM Stats
(LLM Stats (zeroeval))Image To Text90
Legal80
Math80
Multimodal80
Language80
Finance80
General80
Healthcare80
Vision80
Physics70
Reasoning70
Biology70
Chemistry70
Code40
Precios
Precio de entrada$0.27 / 1M tokens
Precio de salida$0.85 / 1M tokens
Precio mixto (3:1)$0.415 / 1M tokens
Velocidad
Tokens/seg131.2
Retraso del primer token0.60s
Tiempo hasta la respuesta0.60s
Ranking de Precios por Proveedor
Ranking de Precios por Proveedor
7 proveedores
Más barato: NanoGPTMás caro: Neon
ProveedorEntradaSalida
1NanoGPTMás barato
$0.15
$0.6
2Helicone
$0.15
$0.6
3OpenRouter
$0.2
$0.696
4Kilo Gateway
$0.2
$0.696
5DigitalOcean
$0.2
$0.696
6MetaPRINCIPAL
$0.27
$0.85
7Neon
$0.5
$1.5
Comparar precios entre diferentes proveedores de API para este modelo.