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.
Amazon Nova Lite is a versatile multimodal model designed to process text, image, and video inputs, producing text-based outputs. Featuring a 300K-token context window, it is well-suited for real-time interactions, document analysis, and visual question answering. As part of the Amazon Nova foundation models, it supports fine-tuning and distillation, enabling advanced customization.
| Llama 4 Scout | Nova Lite | |
|---|---|---|
Web Site
| - | |
Provider
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Chat
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Release Date
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Modalities
| text images video | text images video |
API Providers
| Meta AI, Hugging Face, Fireworks, Together, DeepInfra | Amazon Bedrock |
Knowledge Cut-off Date
| 2025-04 | Purposefully not disclosed |
Open Source
| Yes (Source) | No |
Pricing Input
| Not available | $0.06 per million tokens |
Pricing Output
| Not available | $0.24 per million tokens |
MMLU
| Not available | 80.5% CoT Source |
MMLU-Pro
| 74.3% Reasoning & Knowledge Source | Not available |
MMMU
| 69.4% Image Reasoning Source | Not available |
HellaSwag
| Not available | Not available |
HumanEval
| Not available | 85.4% pass@1 Source |
MATH
| Not available | 73.3% CoT Source |
GPQA
| 57.2% Diamond Source | 42% Main Source |
IFEval
| Not available | 89.7% Source |
SimpleQA
| - | - |
AIME 2024 | - | - |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application | - | - |
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