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.
Over the past five months since the release of Qwen2-VL, developers have built new models based on it, contributing valuable feedback. Now, Qwen2.5-VL introduces enhanced capabilities, including precise analysis of images, text, and charts, as well as object localization with structured JSON outputs. It understands long videos, identifies key events, and functions as an agent, interacting with tools on computers and phones. The model's architecture features dynamic video processing and an optimized ViT encoder for improved speed and accuracy.
| Llama 4 Scout | Qwen2.5-VL-32B | |
|---|---|---|
Provider | ||
Web Site | ||
Release Date | Apr 05, 2025 2 weeks ago | Mar 25, 2025 4 weeks ago |
Modalities | text images video | text images video |
API Providers | Meta AI, Hugging Face, Fireworks, Together, DeepInfra | - |
Knowledge Cut-off Date | 2025-04 | Unknown |
Open Source | Yes (Source) | Yes (Source) |
Pricing Input | Not available | $0 |
Pricing Output | Not available | $0 |
MMLU | Not available | 78.4% Source |
MMLU Pro | 74.3% Reasoning & Knowledge Source | 49.5% |
MMMU | 69.4% Image Reasoning Source | 70% |
HellaSwag | Not available | Not available |
HumanEval | Not available | Not available |
MATH | Not available | 82.2% |
GPQA | 57.2% Diamond Source | 46.0% Diamond |
IFEval | Not available | Not available |
Mobile Application | - | - |
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