DeepSeek-R1

DeepSeek-R1 is the first generation of reasoning models developed by DeepSeek-AI and released on January 20, 2025. The model is built upon large-scale reinforcement learning (RL) training and demonstrates outstanding capabilities in solving complex tasks such as mathematics, programming, and scientific reasoning.

DeepSeek-R1 supports long chain-of-thought (CoT) generation, including self-checking, reflection, and alternative approaches to problem-solving. It achieves performance comparable to OpenAI-o1-1217 on benchmarks such as AIME 2024 (79.8%) and MATH-500 (97.3%).

The base version of DeepSeek-R1 contains 671 billion parameters and is highly resource-intensive. However, compact versions of the model are also available (1.5B, 7B, 8B, 14B, 32B, 70B), along with distilled versions derived from DeepSeek-R1 based on Qwen and Llama. As a result, DeepSeek-R1 sets a new standard in the field of reasoning models by combining the power of large-scale RL training with practical applicability, making it one of the best among open-source models.

Announce Date: 20.01.2025
Parameters: 671B
Experts: 256
Activated at inference: 37B
Context: 164K
Layers: 61
Attention Type: Multi-head Latent Attention
Developer: DeepSeek
Transformers Version: 4.46.3
License: MIT

Use our pre-built public endpoints for free to test inference and explore DeepSeek-R1 capabilities. You can obtain an API access token on the token management page after registration and verification.

An endpoint is a server with pre-installed software that automatically downloads neural network weights and launches an OpenAI-compatible API to handle incoming requests.

A private endpoint is created within the user's project, belongs exclusively to the user, and is billed per server configuration in accordance with the infrastructure pricing.

We recommend creating private endpoints when you need to:

• achieve maximum endpoint performance,
• access the full context window for processing large requests and conversations,
• ensure maximum security by processing data in a dedicated, isolated environment.

Contact our dedicated neural networks support team at support@immers.cloud or send your request to the sales department at sale@immers.cloud.