Nous Research introduces DeepHermes 3 Mistral 24B Preview, a versatile language model released in May 2025. This model is designed for text-based interaction, offering a unique dual-mode system that switches between intuitive chat and structured deep reasoning. With a substantial context window of 32,768 tokens, DeepHermes 3 excels in multi-turn reasoning and supports structured outputs like JSON. It is particularly suited for applications requiring detailed analysis and function call syntax, making it a robust choice for agent-based tasks. The model's input and output modalities focus exclusively on text, ensuring a streamlined and efficient user experience.
Use Cases
Here are a few ways teams apply Nous: DeepHermes 3 Mistral 24B Preview in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Engage in nuanced chat interactions
Perform complex problem-solving
Generate structured data outputs
Execute agent-based applications
Switch between fast and deep reasoning
Key Features
A quick look at the capabilities that make this model useful in real projects.
Dual-mode for chat and deep reasoning
32,768 token context window
Supports structured JSON outputs
Instruction-tuned for multi-turn reasoning
Function call syntax for agent tasks
Specs
Overview
Vendor
nousresearch
Model ID
nousresearch/deephermes-3-mistral-24b-preview
Release
2025-05-09
Modalities & context
Input
text
Output
text
Context
32,768 tokens
Parameters & defaults
Supported parameters: frequency_penalty, include_reasoning, max_tokens, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_p
Defaults: temperature 0.2, top_p 0.95
Benchmark tests: Nous: DeepHermes 3 Mistral 24B Preview
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 Nous: DeepHermes 3 Mistral 24B Preview is an advanced language model designed for a variety of natural language processing tasks. It is capable of generating coherent text, answering questions, and summarizing information across diverse topics. Typical use cases include content creation, customer support automation, and data analysis. The model is optimized for efficiency, allowing it to process and generate text quickly. However, users should be aware of potential limitations, such as occasional inaccuracies in generated content and a reliance on the quality of the input data. Additionally, the model may not always capture nuanced context or specific domain knowledge. Overall, the DeepHermes 3 Mistral 24B Preview serves as a versatile tool for enhancing productivity in language-related applications.
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