Source URL: https://simonwillison.net/2025/Apr/10/llm-pricing-calculator/#atom-everything
Source: Simon Willison’s Weblog
Title: LLM pricing calculator (updated)
Feedly Summary: LLM pricing calculator (updated)
I updated my LLM pricing calculator this morning (Claude transcript) to show the prices of various hosted models in a sorted table, defaulting to lowest price first.
Amazon Nova and Google Gemini continue to dominate the lower end of the table. The most expensive models currently are still OpenAI’s o1-Pro ($150/$600 and GPT-4.5 ($75/$150).
Tags: claude, llm-pricing, ai, llms, vibe-coding, ai-assisted-programming, generative-ai, tools
AI Summary and Description: Yes
Summary: The text discusses an updated pricing calculator for Large Language Models (LLMs), providing insights into the competitive landscape of hosted AI models. It highlights the pricing structure of various models, especially emphasizing cost disparities among providers like Amazon, Google, and OpenAI, which is crucial for budget-conscious AI professionals.
Detailed Description: The content revolves around a practical tool for evaluating the cost associated with various Large Language Models (LLMs). This information is particularly relevant for professionals in AI and cloud computing environments, as understanding the pricing of these models can directly impact project budgeting and resource allocation.
– **Key Points:**
– An update to an LLM pricing calculator was announced, reflecting current prices of hosted models.
– The calculator organizes the models in a sorted table, with a default setting to showcase the lowest prices first.
– Amazon’s Nova and Google’s Gemini are noted as the leaders in affordability at the lower end of the pricing spectrum.
– OpenAI’s models, particularly o1-Pro and GPT-4.5, are highlighted as the most expensive options available, with prices of $150/$600 and $75/$150, respectively.
**Implications for Professionals:**
– **Budget Allocation**: Understanding the pricing can aid organizations in making informed decisions when selecting LLMs for projects, potentially leading to cost savings.
– **Competitive Analysis**: Insights into pricing can help organizations assess their options in the rapidly evolving AI landscape and effectively plan their infrastructure investments.
– **Tool Utilization**: The updated calculator serves as a valuable resource for developers and decision-makers looking to leverage LLMs practically and economically, aiding in real-time comparisons.
Overall, the text underscores the importance of cost management in AI deployments while navigating the complexities of model selection in cloud-based services.