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.
The OpenAI o3-mini is a high-speed, cost-effective reasoning model designed for STEM applications, with strong performance in science, mathematics, and coding. Launched in January 2025, it includes essential developer features such as function calling, structured outputs, and developer messages. The model offers three reasoning effort levels—low, medium, and high—allowing users to optimize between deeper analysis and faster response times. Unlike the o3 model, it lacks vision capabilities. Initially available to select developers in API usage tiers 3-5, it can be accessed via the Chat Completions API, Assistants API, and Batch API.
| Llama 4 Scout | o3-mini | |
|---|---|---|
Provider | ||
Web Site | ||
Release Date | Apr 05, 2025 2 weeks ago | Jan 31, 2025 2 months ago |
Modalities | text images video | text |
API Providers | Meta AI, Hugging Face, Fireworks, Together, DeepInfra | OpenAI API |
Knowledge Cut-off Date | 2025-04 | Unknown |
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 | 86.9% pass@1, high effort 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 | Not available |
MATH | Not available | 97.9% pass@1, high effort Source |
GPQA | 57.2% Diamond Source | 79.7% 0-shot, high effort Source |
IFEval | Not available | Not available |
Mobile Application | - |
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