LLaMA 4 Maverick is a cutting-edge multimodal model featuring 17 billion active parameters within a Mixture-of-Experts architecture of 128 experts, totaling 400 billion parameters. It leads its class by outperforming models like GPT-4o and Gemini 2.0 Flash across a wide range of benchmarks, and it matches DeepSeek V3 in reasoning and coding tasks—using less than half the active parameters. Designed for efficiency and scalability, Maverick delivers a best-in-class performance-to-cost ratio, with an experimental chat variant achieving an ELO score of 1417 on LMArena. Despite its scale, it runs on a single NVIDIA H100 host, ensuring simple and practical deployment.
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 Maverick | Llama 4 Scout | |
|---|---|---|
Provider | ||
Web Site | ||
Release Date | Apr 05, 2025 1 month ago | Apr 05, 2025 1 month ago |
Modalities | text images video | text images video |
API Providers | Meta AI, Hugging Face, Fireworks, Together, DeepInfra | Meta AI, Hugging Face, Fireworks, Together, DeepInfra |
Knowledge Cut-off Date | 2024-08 | 2025-04 |
Open Source | Yes (Source) | Yes (Source) |
Pricing Input | Not available | Not available |
Pricing Output | Not available | Not available |
MMLU | Not available | Not available |
MMLU Pro | 80.5% Source | 74.3% Reasoning & Knowledge Source |
MMMU | 73.4% Source | 69.4% Image Reasoning Source |
HellaSwag | Not available | Not available |
HumanEval | Not available | Not available |
MATH | Not available | Not available |
GPQA | 69.8% Diamond Source | 57.2% Diamond Source |
IFEval | Not available | Not available |
Array | - | - |
AIME 2024 | - | - |
AIME 2025 | - | - |
Array | - | - |
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Mobile Application | - | - |
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