DeepSeek-R1 is a 671B parameter Mixture-of-Experts (MoE) model with 37B activated parameters per token, trained via large-scale reinforcement learning with a focus on reasoning capabilities. It incorporates two RL stages for discovering improved reasoning patterns and aligning with human preferences, along with two SFT stages for seeding reasoning and non-reasoning capabilities. The model achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks.
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.
| DeepSeek-R1 | Llama 4 Scout | |
|---|---|---|
Provider | ||
Web Site | ||
Release Date | Jan 21, 2025 4 months ago | Apr 05, 2025 1 month ago |
Modalities | text | text images video |
API Providers | DeepSeek, HuggingFace | Meta AI, Hugging Face, Fireworks, Together, DeepInfra |
Knowledge Cut-off Date | Unknown | 2025-04 |
Open Source | Yes | Yes (Source) |
Pricing Input | $0.55 per million tokens | Not available |
Pricing Output | $2.19 per million tokens | Not available |
MMLU | 90.8% Pass@1 Source | Not available |
MMLU Pro | 84% EM Source | 74.3% Reasoning & Knowledge Source |
MMMU | - | 69.4% Image Reasoning Source |
HellaSwag | - | Not available |
HumanEval | - | Not available |
MATH | - | Not available |
GPQA | 71.5% Pass@1 Source | 57.2% Diamond Source |
IFEval | 83.3% Prompt Strict Source | Not available |
Array | - | - |
AIME 2024 | - | - |
AIME 2025 | - | - |
Array | - | - |
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Mobile Application | - |
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