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Nous: DeepHermes 3 Mistral 24B Preview

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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.

Parameters

24B

Context Window

32,768

tokens

Input Price

$0.093295

per 1M tokens

Output Price

$0.373363

per 1M tokens

Capabilities

Model capabilities and supported modalities

Performance

Reasoning

Excellent reasoning capabilities with strong logical analysis

Math

-

Coding

Capable of generating functional code with good practices

Knowledge

-

Modalities

Input Modalities

text

Output Modalities

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LLM Price Calculator

Calculate the cost of using this model

$0.000140
$0.001120
Input Cost:$0.000140
Output Cost:$0.001120
Total Cost:$0.001260
Estimated usage: 4,500 tokens

Monthly Cost Estimator

Based on different usage levels

Light Usage
$0.0047
~10 requests
Moderate Usage
$0.0467
~100 requests
Heavy Usage
$0.4667
~1000 requests
Enterprise
$4.6666
~10,000 requests
Note: Estimates based on current token count settings per request.
Last Updated: 1970/01/21