Gemma 4 is efficient with thinking tokens, but it will also happily reason for 10+ minutes if you prompt it to do so.
Tested both 26b and 31b in AI Studio. The task I asked of it was to crack a cypher. The top closed source models can crack this cypher at max thinking parameters, and Kimi 2.5 Thinking and Deepseek 3.2 are the only open source models to crack the cypher without tool use. (Of course, with the closed models you can't rule out 'secret' tool use on the backend.) When I first asked these models to crack the cypher, they thought for a short amount of time and then both hallucinated false 'translations' of the cypher. I added this to my prompt: Spare no effort to solve this, the stakes are high. Increase your thinking length to maximum in order to solve it. Double check and verify your results to rule out hallucination of an incorrect response. I did not expect dramatic results (we all laugh at p
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