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LLM system prompts show inconsistent behavior across models

A recent experiment revealed that the role of messages in LLM prompts, specifically system prompts, does not consistently influence model behavior across all platforms. While OpenAI's GPT-5.4 and Anthropic's Claude Opus-5 demonstrated that system prompts can override user instructions, GPT-5.4 Mini showed no such consistent behavior. The study concluded that message order is generally more critical than the role assigned, and while system prompts are useful for setting guardrails and conventions, their impact on LLM output can vary significantly based on the model's training. AI

IMPACT Understanding LLM prompt behavior is crucial for developers to effectively control model outputs and mitigate risks like prompt injection.

RANK_REASON The item discusses experimental findings about LLM behavior rather than a new release or product.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM system prompts show inconsistent behavior across models

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  1. dev.to — LLM tag TIER_1 English(EN) · Taha Shashtari ·

    I tested if system prompts actually matter, here's what I found

    <p>I’m talking here about the role, not the concept.</p> <p>I tried this experiment and was surprised about the result:<br /> </p> <div class="highlight js-code-highlight"> <pre class="highlight javascript"><code><span class="kd">const</span> <span class="nx">response</span> <spa…