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Llama 4 Scout is Meta's efficient multimodal language model with 16 experts activating 17 billion parameters out of 109B total. It supports native multimodal input (text and image) across 12 languages with a 10-million-token context window — one of the longest available — and uses early fusion for seamless modality integration. Designed for high efficiency and local or commercial deployment, it is instruction-tuned for multilingual chat, captioning, and image understanding tasks, released under the Llama 4 Community License.

Author
MetaMeta
Release Date
2025-04-05
Knowledge Cutoff
2024-08-31
License
Open Model
I/O Format
Context Length
328K / 16K
API I/O (1M)
$0.08 / $0.3
How to Use
API Access
Output Speed
136 tok/s
Arena Overall
1322
Intelligence Index
13.5
Coding Index
6.7
Math Index
14.0
LiveBench
ForecastBench
54.0
GPQA Diamond
58.7%
HLE
4.3%
MMLU-Pro
75.2%
AIME 2025
14.0%
MATH-500
84.4%
LB Reasoning
LB Math
LB Data Analysis
LiveCodeBench
29.9%
LB Coding
LB Agentic
TAU2
15.5%
TerminalBench
1.5%
SciCode
17.0%
IFBench
39.5%
AA-LCR
0.3
Hallucination (HHEM)
7.7%
Factual Consistency (HHEM)
92.3%
LB Language
LB Instruction Following