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
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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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