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.
OpenAI o4-mini is the newest lightweight model in the o-series, engineered for efficient and capable reasoning across text and visual tasks. Optimized for speed and performance, it excels in code generation and image-based understanding, while maintaining a balance between latency and reasoning depth. The model supports a 200,000-token context window with up to 100,000 output tokens, making it suitable for extended, high-volume interactions. It handles both text and image inputs, producing textual outputs with advanced reasoning capabilities. With its compact architecture and versatile performance, o4-mini is ideal for a wide array of real-world applications demanding fast, cost-effective intelligence.
| Llama 4 Scout | o4-mini | |
|---|---|---|
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 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 | $1.10 per million tokens |
Pricing Output
| Not available | $4.40 per million tokens |
MMLU
| Not available | fort |
MMLU-Pro
| 74.3% Reasoning & Knowledge Source | - |
MMMU
| 69.4% Image Reasoning Source | 81.6% Source |
HellaSwag
| Not available | - |
HumanEval
| Not available | 14.28% Source |
MATH
| Not available | - |
GPQA
| 57.2% Diamond Source | 81.4% Source |
IFEval
| Not available | - |
SimpleQA
| - | - |
AIME 2024 | - | 93.4% Source |
AIME 2025 | - | 92.7% Source |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application | - |
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