# llm-gemini 0.36

> Source: <https://simonwillison.net/2026/Nov/10/llm-gemini/>
> Published: 2026-11-10 20:09:44+00:00

**Release:** [llm-gemini 0.36](https://github.com/simonw/llm-gemini/releases/tag/0.36)

Gemini 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/).

This 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).

Here 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:

Gemini 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/):

`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`

Here'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:

Tags: [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)