Simon Willison's blog offers a mix of technical tutorials, data analysis projects, and reflections on technology and society. With a focus on Python, SQL, and web development, Simon shares insights into building web applications, working with data, and exploring emerging technologies. Developers can learn about data visualization, API design, and software engineering best practices, gaining inspiration and practical knowledge to advance their careers.

Simon Willison

Google released Gemini 3.5 Flash at Google I/O, skipping preview status and deploying it across major consumer and enterprise products. The model supports 1M input tokens and 65K output tokens with a January 2025 knowledge cutoff. However, it comes with a significant price increase — 3x the cost of Gemini 3 Flash Preview and 6x Gemini 3.1 Flash-Lite, at $1.50/M input and $9/M output tokens. Benchmark cost data from Artificial Analysis shows Gemini 3.5 Flash (high) running more expensive than Gemini 3.1 Pro Preview. This price hike fits a broader trend across AI labs, with OpenAI and Anthropic also raising prices on newer models. Google also introduced a new Interactions API in beta, offering server-side history management similar to OpenAI's Responses API.

Gemini 3.5 Flash: more expensive, but Google plan to use it for everything