Llama 4 Scout

LLaMA 4 Scout is a 17-billion parameter model leveraging a Mixture-of-Experts architecture with 16 active experts, positioning it as the top multimodal model in its category. It consistently outperforms competitors like Gemma 3, Gemini 2.0 Flash-Lite, and Mistral 3.1 across diverse benchmark tasks. Despite its performance, LLaMA 4 Scout is remarkably efficient—capable of running on a single NVIDIA H100 GPU with Int4 quantization. It also boasts an industry-leading 10 million token context window and is natively multimodal, seamlessly processing text, images, and video inputs for advanced real-world applications.

GPT-5

Llama 4 ScoutGPT-5
Web Site ?
Provider ?
Chat ?
Release Date ?
Modalities ?
text ?
images ?
video ?
text ?
images ?
voice ?
video ?
API Providers ?
Meta AI, Hugging Face, Fireworks, Together, DeepInfra
OpenAI API
Knowledge Cut-off Date ?
2025-04
-
Open Source ?
Yes (Source)
No
Pricing Input ?
Not available
-
Pricing Output ?
Not available
-
MMLU ?
Not available
-
MMLU-Pro ?
74.3%
Reasoning & Knowledge
Source
-
MMMU ?
69.4%
Image Reasoning
Source
84.2%
Source
HellaSwag ?
Not available
-
HumanEval ?
Not available
24.8%
Full Set
Source
MATH ?
Not available
-
GPQA ?
57.2%
Diamond
Source
85.7%
Diamond
Source
IFEval ?
Not available
-
SimpleQA ?
-
-
AIME 2024
-
-
AIME 2025
-
94.6%
Source
Aider Polyglot ?
-
88.0%
Multi-language code editing
Source
LiveCodeBench v5 ?
-
-
Global MMLU (Lite) ?
-
-
MathVista ?
-
-
Mobile Application
-
-

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