Llama 4 Maverick
MetaLlamaOpen WeightLlama 4 Community License Agreement
Description
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.
Date de sortie
2025-04-05
Paramètres
400.0B
Longueur du contexte
1.0M
Modalités
image, text
Radar de capacités
31
general
26
coding
39
reasoning
42
science
35
agents
90
multimodal
Classements
| Domaine | #Rang | Score | Source |
|---|---|---|---|
| Classement codage | 433 | 30.0 | AA |
| Classement général | 387 | 35.0 | AA |
| Classement multimodal | 104 | 45.0 | LS |
| Science | 393 | 38.0 | AA |
Scores 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.
Indices d'évaluation 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
Scores par catégorie LLM Stats
(LLM Stats (zeroeval))Image To Text90
Language80
Legal80
Math80
Multimodal80
Finance80
General80
Healthcare80
Vision80
Physics70
Reasoning70
Biology70
Chemistry70
Code40
Tarification
Prix d'entrée$0.26 / 1M tokens
Prix de sortie$0.91 / 1M tokens
Prix mixte (3:1)$0.422 / 1M tokens
Vitesse
Tokens/sec86.2
Délai du premier token0.59s
Temps de réponse0.59s
Classement des Prix par Fournisseur
Classement des Prix par Fournisseur
8 fournisseurs
Moins cher: DeepInfraPlus cher: Neon
FournisseurEntréeSortie
1DeepInfraMoins cher
$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
Comparer les prix entre différents fournisseurs API pour ce modèle.