DeepSeek: R1 (free) by deepseek is an innovative text-to-text model released in January 2025. With a massive context window of 163,840 tokens, it excels in handling extensive text inputs and outputs. This model, featuring 671 billion parameters, operates with 37 billion active during inference, ensuring efficient processing. Its open-source nature, licensed under MIT, allows users to freely distill and commercialize their applications. DeepSeek: R1 supports various parameters such as frequency_penalty, max_tokens, and temperature, providing flexibility in text generation tasks. Ideal for developers seeking transparency and customization, this model is a robust choice for diverse text-based applications.
Use Cases
Here are a few ways teams apply DeepSeek: R1 (free) in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Enhance text analysis with vast context handling
Customize text generation with flexible parameters
Develop open-source applications with MIT license
Conduct large-scale text processing efficiently
Key Features
A quick look at the capabilities that make this model useful in real projects.
671B parameters with 37B active in inference
Massive 163,840 token context window
Fully open-source under MIT license
Supports diverse text generation parameters
Text-to-text input and output modalities
Specs
Overview
Vendor
deepseek
Model ID
deepseek/deepseek-r1:free
Release
2025-01-20
Modalities & context
Input
text
Output
text
Context
163,840 tokens
Parameters & defaults
Supported parameters: frequency_penalty, include_reasoning, max_tokens, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, top_k, top_p
Defaults: temperature 0.2, top_p 0.95
Benchmark tests: DeepSeek: R1 (free)
We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.
Text
Prompt:
Write 150 words on how AI might positively upend work, leisure and creativity
The DeepSeek: R1 is a free, advanced search tool designed for efficient data retrieval across various digital platforms. It utilizes natural language processing algorithms to understand user queries and deliver relevant results from indexed sources. Typical use cases include academic research, content discovery, and information gathering across multiple domains. The tool supports various file formats and integrates with common databases, enhancing its versatility for users in different fields. Notable constraints include potential limitations in indexing speed and the need for internet connectivity for optimal performance. Additionally, users may encounter restrictions on the volume of data processed in a single query, which could affect large-scale data analysis tasks.
Run this prompt on Upend.AI