Gemini 3

Gemini 3 seems to have a much smaller token output limit than 2.5. I used to use Gemini to restructure essays into an LLM-style format to improve readability, but the Gemini 3 release was a huge step back for that particular use case. Even when the model is explicitly instructed to pause due to insufficient tokens rather than generating an incomplete response, it still truncates the source text too aggressively, losing vital context and meaning in the restructuring process. I hope the 3.1 release includes a much larger output limit.

Funnily, on my tests, 3 flash with medium reasoning does better. Seems like 3.1 pro reasoned about the correct answer, but chose to go with a different (wrong) one: https://aibenchy.com/compare/?left=google-gemini-3-flash-pre... EDIT: while also being 3x cheaper

AI writing you can recognize as AI writing is obvious. Newer models are better about this and the line will only get more blurry. Here's a benchmark where good writers make the assessment rather than different LLMs ranking each other: https://surgehq.ai/leaderboards/hemingway-bench The top models are also the latest: Gemini 3.1 Pro: still a bit of a gremlin, but will probably stay on top until the other model makers go xkcd 810 and target this benchmark Gemini 3 Flash: current favorite of writers using it as a helper for its speed and decent prompt following

Given that Gemini 3 Pro already did solid on that test, what exactly did they improve? Why would they bother? I double checked and tested on AI Studio, since you can still access the previous model there: >You should drive. >If you walk there, your car will stay behind, and you won't be able to wash it. Thinking models consistently get it correct and did when the test was brand new (like a week or two ago). It is the opposite of surprising that a new thinking model continues getting it correct, unless the competitors had a time machine.