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Llama 4 Scout

MetaLlama오픈 웨이트Llama 4 Community License Agreement

설명

Llama 4 Scout is a natively multimodal model capable of processing both text and images. It features a 17 billion activated parameter (109B total) mixture-of-experts (MoE) architecture with 16 experts, supporting a wide range of multimodal tasks such as conversational interaction, image analysis, and code generation. The model includes a 10 million token context window.

출시일
2025-04-05
파라미터
109.0B
컨텍스트 길이
1.3M
모달리티
image, text

능력 레이더

29
general
17
coding
33
reasoning
33
science
28
agents
90
multimodal

랭킹

도메인#순위점수소스
코딩 랭킹443
18.0
AA
종합 랭킹383
33.0
AA
과학432
30.0
AA

벤치마크 점수 (LLM Stats)

(LLM Stats (zeroeval))

Biology

GPQANYU + Cohere + Anthropic (2023)57.2%자체 보고

Code

LiveCodeBench32.8%자체 보고

Finance

MMLU79.6%자체 보고
MMLU-Pro74.3%자체 보고

General

MMMU69.4%자체 보고
MBPP0.68 / 100자체 보고

Image To Text

DocVQADocVQA (2020)94.4%자체 보고

Language

TydiQA31.5%자체 보고

Math

MGSM90.6%자체 보고
MathVista70.7%자체 보고
MATH50.3%자체 보고

Multimodal

ChartQAMasry et al. (2022)88.8%자체 보고

AA 평가 지수

(Artificial Analysis)
Math Index(Artificial Analysis)
14.0
Intelligence Index(Artificial Analysis)
10.3
Coding Index(Artificial Analysis)
8.2
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
0.8
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
0.8
Gpqa(NYU + Cohere + Anthropic (2023))
0.6
Ifbench(Google Research (2023))
0.4
Lcr(Artificial Analysis)
0.3
Livecodebench(UC Berkeley + MIT + Cornell (2024))
0.3
Aime(MAA (Mathematical Association of America))
0.3
Scicode(UIUC + Argonne National Lab (2024))
0.2
Tau2(Sierra + U Toronto + Vector Institute (2025))
0.2
Aime 25(MAA (Mathematical Association of America))
0.1
Hle(Center for AI Safety + Scale AI (2025))
0.0
Terminalbench V2 1
0.0
Tau Banking
0.0
Terminalbench Hard(Stanford × Laude Institute (2026))
0.0

LLM Stats 카테고리 점수

(LLM Stats (zeroeval))
Image To Text
90
Legal
80
Multimodal
80
Language
80
Finance
80
Vision
80
Math
70
Reasoning
70
General
70
Healthcare
70
Physics
60
Biology
60
Chemistry
60
Code
30

가격

입력 가격$0.18 / 1M 토큰
출력 가격$0.66 / 1M 토큰
혼합 가격 (3:1)$0.3 / 1M 토큰

속도

토큰/초129.9
첫 토큰 지연0.61s
첫 응답 지연0.61s

공급자 가격 순위

공급자 가격 순위

5개 공급자

최저가: Helicone최고가: Meta
공급자입력출력
1Helicone최저가
$0.08
$0.3
2NanoGPT
$0.085
$0.46
3OpenRouter
$0.1
$0.3
4Kilo Gateway
$0.1
$0.3
5Meta주요
$0.18
$0.66

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