{"slug": "llm-gemini-0-36", "title": "llm-gemini 0.36", "summary": "Google made Gemini 4 Carbon available to all users on November 10, 2026, two weeks after announcing it for \"a subset of cyber defenders,\" and Simon Willison shipped llm-gemini 0.36 to support it. The model launched at $2 per million input tokens and $10 per million output tokens — matching GPT-6.1 Sol and Claude Sonnet 5.5 pricing — with prices scheduled to double to $4/$20 on December 1st, the same as Opus 5.5. Willison tested Gemini 4 Carbon's low, medium and high thinking efforts with pelican prompts and used Google's Antigravity IDE to generate a Three.js animation of Yonkers as a mech stomping through Manhattan, Queens and Brooklyn from OpenStreetMap data.", "body_md": "**Release:** [llm-gemini 0.36](https://github.com/simonw/llm-gemini/releases/tag/0.36)\n\nGemini 4 Carbon was announced [two weeks ago](https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-carbon/) for \"a subset of cyber defenders\", but today it's [available to everyone else](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-4-carbon-now-available/).\n\nThis is Google's best ever Gemini, priced at $2/million input and $10/million output at launch (that's GPT-6.1 Sol / Claude Sonnet 5.5 prices) but scheduled to double in price to $4/$20 on December 1st (same as Opus 5.5).\n\nHere are [three pelicans](https://tools.simonwillison.net/markdown-svg-renderer?url=https%3A%2F%2Fgist.github.com%2Fsimonw%2Fe5bf860633fc12e8f926f305c4c3190c) for the low, medium and high thinking efforts (it defaults to medium). This is the pelican I got for high:\n\nGemini pelicans have all been great for a while now, so I also tested it out using Google's Antigravity IDE with a prompt I first tried [with Claude Fable 5.2 yesterday](https://simonwillison.net/2026/Nov/10/yonkers-rises/):\n\n`Make a three js animation where yonkers stands up as a big mech (cool stand up motion) and stomps around manhattan and queens and Brooklyn, use openstreetmap mapping data`\n\nHere's [the HTML result](https://static.simonwillison.net/static/2026/yonkers-mech-standalone.html) (I had to prompt \"build that into a standalone HTML file\" to get a version with no external dependencies). I then screen-captured that as a video:\n\nTags: [llm-release](https://simonwillison.net/tags/llm-release), [gemini](https://simonwillison.net/tags/gemini), [llm](https://simonwillison.net/tags/llm), [google](https://simonwillison.net/tags/google), [generative-ai](https://simonwillison.net/tags/generative-ai), [ai](https://simonwillison.net/tags/ai), [llms](https://simonwillison.net/tags/llms)", "url": "https://wpnews.pro/news/llm-gemini-0-36", "canonical_source": "https://simonwillison.net/2026/Nov/10/llm-gemini/", "published_at": "2026-11-10 20:09:44+00:00", "updated_at": "2026-11-10 20:50:32.259424+00:00", "lang": "en", "topics": ["generative-ai", "large-language-models", "ai-products", "developer-tools"], "entities": ["Google", "Gemini 4 Carbon", "llm-gemini 0.36", "Simon Willison", "Antigravity IDE", "GPT-6.1 Sol", "Claude Sonnet 5.5", "Opus 5.5"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/llm-gemini-0-36", "markdown": "https://wpnews.pro/news/llm-gemini-0-36.md", "text": "https://wpnews.pro/news/llm-gemini-0-36.txt", "jsonld": "https://wpnews.pro/news/llm-gemini-0-36.jsonld"}}