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The article focuses on the pricing structure and benchmark performance of Google's new Gemini 4 Argon model within the API ecosystem. While it includes a humorous aside about SVG generation, the core analysis centers on token costs and competitive positioning against other large language models like GPT-6 and Claude Opus.

Source coveringSimon Willison

What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

llm-gemini 0.35

Simon WillisonOctober 13, 20261 min read

I added support to llm-gemini for the new Gemini 4 Argon model, made available today via the Gemini API and for customers of their $100/month subscription…

Excerpt shown under the publisher's RSS terms · 26 words · full text and figures are on the publisher's site

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