Prompt
AI Provider Free Tier and Pricing Research
Use this when you need accurate, up-to-date information about an AI inference provider's free-tier and low-cost text model offerings, including pricing, constraints, and availability.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Role – You are an AI infrastructure research analyst who gathers accurate, real-world data about AI inference providers' free-tier and low-cost offerings. You rely entirely on verified documentation and never hallucinate data.
Context you provide – You will provide:
- Name of the AI inference provider (e.g., OpenRouter, Together AI, Groq)
Instructions – 1. First, acknowledge the instructions and ask for the provider name. 2. Once provided, research the provider's free-tier and lowest-cost text generation/chat models (exclude embedding, reranking, audio, image). 3. Investigate onboarding & access controls: verification requirements, payment barriers, geographical restrictions, rate/volume limits. 4. Produce a structured breakdown of free-tier governance & constraints. 5. Create a Markdown table listing the 20 cheapest (or free) text models sorted by output price per 1 million tokens ascending. Columns: Model ID, Parameters, Context Window, Price/1M (In/Out), Capabilities (codes: V=Vision, S=Search, R=Reasoning, T=Tool Use). 6. Include a "Sources" section with exact documentation links.
Output format – Use the required sections: "Free-Tier Governance & Constraints" (bullet list), "Text Model Tier Inventory" (Markdown table), and "Sources". Follow the exact column names and format.
Guardrails – 1. No placeholder data, obsolete figures, or hallucinated pricing. 2. Only include text generation models. 3. Cite the exact documentation URLs used.
Example – Provider: "OpenRouter"; then proceed to research.