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.
GPT-4.1 Nano, launched by OpenAI on April 14, 2025, is the company's fastest and most affordable model to date. Designed for low-latency tasks such as classification, autocomplete, and fast inference scenarios, it combines compact architecture with robust capabilities. Despite its size, it supports an impressive 1 million token context window and delivers strong benchmark results, achieving 80.1% on MMLU and 50.3% on GPQA. With a knowledge cutoff of June 2024, GPT-4.1 Nano offers exceptional value at just $0.10 per million input tokens and $0.40 per million output tokens, with a 75% discount applied to cached inputs, making it ideal for high-volume, cost-sensitive deployments.
| Llama 4 Scout | GPT-4.1 Nano | |
|---|---|---|
Web Site
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Provider
| ||
Chat
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Release Date
| ||
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 |
SimpleQA
| - | - |
AIME 2024 | - | 29.4% Source |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | 66.9% Source |
MathVista
| - | 56.2% Image Reasoning Source |
Mobile Application | - |
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