Skip to content

Part of Learn LLM Prompting With Hundreds of Examples

Blueprint

Compare System Prompts Across LLM Models

0June 2026

Raw system prompts from OpenAI, Anthropic, Google, xAI, Meta, Mistral, and other LLM providers, updated through 2025.

What problem does this solve?

LLM providers keep their system prompts secret, but reverse engineers and researchers extract them regularly. This collection aggregates prompts from ChatGPT (versions 3.5 through 4.5), Claude (versions 1.0 through 4.5), Gemini (versions 1.5 through 2.5), Grok, Llama, and others so you can compare how different models are actually configured.

How does it work?

  1. Browse system prompts by provider (OpenAI, Anthropic, Google, xAI, etc.) and version date. 2. Compare how different models handle identical instructions or capabilities. 3. Study changes across versions to understand how system prompts evolve. 4. Learn constraint wording, role framing, and capability design from production systems. Output: a comparative education in how top-tier LLMs are instructed at the system level.

Included Skills

No skills in this group

Key Features

OpenAI Coverage

Prompts for ChatGPT 4o, 4.1, 4.5, and 5, plus tools modes (Canvas, Code Interpreter, Web Search, Projects).

Anthropic Claude Versions

System prompts from Claude 3 through 4.5, including Sonnet, Opus, and Haiku variants.

Google Gemini & Notebook LM

Prompts from Gemini 1.5, 2.0, 2.5, and Google's Notebook LM (research assistant mode).

Dated & Versioned

Each prompt is timestamped and tagged by model version, so you can track changes over months.

Alternative Models

Prompts for Grok (xAI), Llama (Meta), Mistral Le Chat, DeepSeek, and other providers.

About This Blueprint

Industry
Technology
Sales

ICP-Filtered Outreach Lists from G2 Buyer Intent

Stop wasting rep time on weak intent signals and mismatched accounts. The workflow ranks ICP-fit buyers by readiness, finds the right contact, and supplies tailored outreach angles for the strongest opportunities.

ID

Ishani D.

Account Manager

Customer Experience

Answer pre-purchase questions to convert hesitant shoppers with AI

Shoppers get accurate answers about fit, compatibility, ingredients, and delivery even when your team is offline, so fewer leave before checkout. Conversation insights also reveal which product-page details could prevent the next unanswered question.

UB

Urska B.

GTM Lead

Customer Experience

Find the root cause behind repeat support tickets with AI

Catch a few unusual tickets before a product or fulfillment issue turns into hundreds of refunds, chargebacks, and bad reviews. Cluster transcript evidence by SKU, order date, location, and carrier so operations can trace the cause and support can reach affected customers early.

UB

Urska B.

GTM Lead