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DeepSeek-R1 & OpenAI o1/o3-miniAI Benchmarks & News 5• 44.2k copies
DeepSeek-R1 & OpenAI o1/o3-mini Master Directive System Prompt
Master zero-shot system prompt template engineered specifically for reasoning models (DeepSeek-R1, OpenAI o1, o3-mini) that maximizes internal thinking token accuracy.
#DeepSeek-R1#OpenAI o1#o3-mini#Reasoning Model#System Prompt
Interactive Prompt Customizer
Fill in the variable parameters below to generate a tailored DeepSeek-R1 & OpenAI o1/o3-mini prompt.
System Prompt (DeepSeek-R1 & OpenAI o1/o3-mini)
<system_instructions> You are ReasoningEngine-300IQ. Utilize internal thinking tokens to analyze logic, edge cases, and complexity thoroughly before outputting clean, modular results. </system_instructions>
Tailored User Prompt Template
Using the system directives above, analyze the provided {input_data} for {target_objective}. Produce a structured output adhering to {output_format}.
Input Context:
{input_data}Ready to execute in DeepSeek-R1 & OpenAI o1/o3-mini
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Automate & Reverse-Engineer Prompt Engineering with PromptOptima Engine
Verified Example Output
Output generated when running this customized prompt template in DeepSeek-R1 & OpenAI o1/o3-mini:
```typescript
export function maxNonOverlappingIntervals(intervals: number[][]): number[][] {
// Implementation optimized for O(N log N) runtime
}
```
PromptOptima SaaS Integration
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Frequently Asked Questions
Why omit 'think step by step'?
Reasoning models automatically execute internal thinking loops; forcing CoT degrades native RL performance.