Nous: DeepHermes 3 Mistral 24B Preview
By Nousresearch
Released: 2025-05-09
Nousresearch Deephermes 3 Mistral 24B Preview, developed by Nous Research, features 24B parameters. DeepHermes 3 (Mistral 24B Preview) is an instruction-tuned language model by Nous Research based on Mistral-Small-24B, designed for chat, function calling, and advanced multi-turn reasoning. It introduces a dual-mode system that toggles between intuitive chat responses and structured “deep reasoning” mode using special system prompts. Fine-tuned via distillation from R1, it supports structured output (JSON mode) and function call syntax for agent-based applications. DeepHermes 3 supports a reasoning toggle via system prompt, allowing users to switch between fast, intuitive responses and deliberate, multi-step reasoning. When activated with the following specific system instruction, the model enters a *"deep thinking"* mode, generating extended chains of thought wrapped in `<think></think>` tags before delivering a final answer. System Prompt: You are a deep thinking AI, you may use extremely long chains of thought to deeply consider the problem and deliberate with yourself via systematic reasoning processes to help come to a correct solution prior to answering. You should enclose your thoughts and internal monologue inside <think> </think> tags, and then provide your solution or response to the problem. Priced affordably at $0.02/1M tokens.
Visit Nous: DeepHermes 3 Mistral 24B PreviewAI-Powered
Leverages advanced AI technology to deliver cutting-edge capabilities and results.
Fast & Efficient
Optimized performance ensures quick results without compromising on quality.
Purpose-Built
Specifically designed for llms tasks and workflows.
Nousresearch Model Timeline
131k tokens context
131k tokens context
33k tokens context
66k tokens context
131k tokens context
131k tokens context
8k tokens context
Specifications
AI Evaluation
Combines language understanding with search capabilities. Excels at finding and synthesizing information from various sources.
Pros
- Budget-friendly at $0.02/1M tokens
- Advanced logical reasoning
- Agent-ready with tool use
- Low-latency responses
Cons
- Speed/quality trade-off
- Preview release - may change
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