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.
| Llama 4 Scout | GPT-4.1 Nano | |
|---|---|---|
Provider | ||
Web Site | ||
Release Date | Apr 05, 2025 1 month ago | Apr 14, 2025 3 weeks ago |
Modalities | text images video | text images |
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 | $0.10 per million tokens |
Pricing Output | Not available | $0.40 per million tokens |
MMLU | Not available | 80.1% Source |
MMLU Pro | 74.3% Reasoning & Knowledge Source | - |
MMMU | 69.4% Image Reasoning Source | 55.4% Source |
HellaSwag | Not available | - |
HumanEval | Not available | - |
MATH | Not available | - |
GPQA | 57.2% Diamond Source | 50.3% Diamond Source |
IFEval | Not available | 74.5% Source |
Array | - | - |
AIME 2024 | - | 29.4% Source |
AIME 2025 | - | - |
Array | - | - |
Array | - | - |
Array | - | 66.9% Source |
Array | - | 56.2% Image Reasoning Source |
Mobile Application | - |
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