DeepSeek V3 0324, released by DeepSeek on March 24, 2025, is a sophisticated text model designed to handle complex text-based tasks. With a robust 685 billion parameters and a mixture-of-experts architecture, this model offers a substantial context window of 163,840 tokens. It processes text inputs and generates text outputs, making it suitable for a variety of applications. Users can adjust parameters like frequency penalty, temperature, and more to fine-tune outputs according to specific needs. Whether you're looking to enhance text generation or improve conversational AI systems, DeepSeek V3 0324 provides the tools and flexibility required for diverse text processing tasks.
Use Cases
Here are a few ways teams apply DeepSeek: DeepSeek V3 0324 (free) in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Enhance text generation capabilities
Improve conversational AI systems
Customize text processing with adjustable settings
Develop advanced language models
Key Features
A quick look at the capabilities that make this model useful in real projects.
685B-parameter mixture-of-experts model
Supports a wide context window of 163,840 tokens
Adjustable parameters for tailored outputs
Handles text-to-text modalities
Released on March 24, 2025
Specs
Overview
Vendor
deepseek
Model ID
deepseek/deepseek-chat-v3-0324:free
Release
2025-03-24
Modalities & context
Input
text
Output
text
Context
163,840 tokens
Parameters & defaults
Supported parameters: frequency_penalty, max_tokens, presence_penalty, repetition_penalty, seed, stop, temperature, tool_choice, tools, top_k, top_p
Defaults: temperature 0.2, top_p 0.95
Benchmark tests: DeepSeek: DeepSeek V3 0324 (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 V3 0324 is an advanced text analysis tool designed for natural language processing tasks. It offers capabilities such as sentiment analysis, entity recognition, and text summarization, making it suitable for applications in customer feedback analysis, content creation, and data extraction from unstructured text. Users can leverage its features to enhance decision-making processes and improve user engagement through tailored content.
Notable constraints include the requirement for a stable internet connection for optimal performance, as well as potential limitations in understanding context for highly nuanced language or specialized jargon. The model is available for free, allowing users to explore its functionalities without financial commitment. However, users should be aware of the need for ongoing updates to maintain accuracy and relevance in rapidly evolving language use.
Run this prompt on Upend.AI