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.
NVIDIA's Llama 3.1 Nemotron 70B is a powerful language model optimized for delivering accurate and informative responses. Built on the Llama 3.1 70B architecture and enhanced with Reinforcement Learning from Human Feedback (RLHF),it achieves top performance in automatic alignment benchmarks. Designed for applications demanding high precision in response generation and helpfulness, this model is well-suited for a wide range of user queries across multiple domains.
| Llama 4 Scout | Llama 3.1 Nemotron 70B Instruct | |
|---|---|---|
Web Site
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Provider
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Chat
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Release Date
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Modalities
| text images video | text |
API Providers
| Meta AI, Hugging Face, Fireworks, Together, DeepInfra | OpenRouter |
Knowledge Cut-off Date
| 2025-04 | - |
Open Source
| Yes (Source) | Yes |
Pricing Input
| Not available | $0.35 per million tokens |
Pricing Output
| Not available | $0.40 per million tokens |
MMLU
| Not available | 85% 5-shot 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 | 75% Source |
MATH
| Not available | 71% Source |
GPQA
| 57.2% Diamond Source | Not available |
IFEval
| Not available | Not available |
SimpleQA
| - | - |
AIME 2024 | - | - |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application | - | - |
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