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Llama 4 Maverick

MetaLlama오픈 웨이트Llama 4 Community License Agreement

설명

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.

출시일
2025-04-05
파라미터
400.0B
컨텍스트 길이
1.0M
모달리티
image, text

능력 레이더

33
general
26
coding
39
reasoning
43
science
35
agents
90
multimodal

랭킹

도메인#순위점수소스
코딩 랭킹342
31.0
AA
종합 랭킹323
39.0
AA
과학317
43.0
AA

벤치마크 점수 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)69.8%자체 보고

Code

LiveCodeBench43.4%자체 보고

Finance

MMLU85.5%자체 보고
MMLU-Pro80.5%자체 보고

General

MBPP0.78 / 100자체 보고
MMMU73.4%자체 보고
MMMU-Pro59.6%자체 보고

Image To Text

DocVQADocVQA (2020)94.4%자체 보고

Language

TydiQA31.7%자체 보고

Math

MGSM92.3%자체 보고
MathVista73.7%자체 보고
MATH61.2%자체 보고

Multimodal

ChartQAMasry et al. (2022)90.0%자체 보고

AA 평가 지수

(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 1
0.1
Terminalbench Hard(Stanford × Laude Institute (2026))
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.0
Tau Banking
0.0

LLM Stats 카테고리 점수

(LLM Stats (zeroeval))
Image To Text
90
Legal
80
Math
80
Multimodal
80
Language
80
Finance
80
General
80
Healthcare
80
Vision
80
Physics
70
Reasoning
70
Biology
70
Chemistry
70
Code
40

가격

입력 가격$0.27 / 1M 토큰
출력 가격$0.85 / 1M 토큰
혼합 가격 (3:1)$0.415 / 1M 토큰

속도

토큰/초120.4
첫 토큰 지연0.60s
첫 응답 지연0.60s

공급자 가격 순위

공급자 가격 순위

7개 공급자

최저가: NanoGPT최고가: Neon
공급자입력출력
1NanoGPT최저가
$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
6Meta주요
$0.27
$0.85
7Neon
$0.5
$1.5

이 모델의 다양한 API 공급자 간 가격 비교.

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