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.
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.
| DeepSeek-R1 | Llama 3.1 Nemotron 70B Instruct | |
|---|---|---|
Provider | ||
Web Site | ||
Release Date | Jan 21, 2025 3 months ago | Oct 15, 2023 1 year ago |
Modalities | text | text |
API Providers | DeepSeek, HuggingFace | OpenRouter |
Knowledge Cut-off Date | Unknown | - |
Open Source | Yes | Yes |
Pricing Input | $0.55 per million tokens | $0.35 per million tokens |
Pricing Output | $2.19 per million tokens | $0.40 per million tokens |
MMLU | 90.8% Pass@1 Source | 85% 5-shot Source |
MMLU Pro | 84% EM Source | Not available |
MMMU | - | Not available |
HellaSwag | - | Not available |
HumanEval | - | 75% Source |
MATH | - | 71% Source |
GPQA | 71.5% Pass@1 Source | Not available |
IFEval | 83.3% Prompt Strict Source | Not available |
Mobile Application | - |
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