Gemini 3.1 Pro handled a huge coding session, then fell back
worked very well during one long session on complex programming tasks. The session reached about 453,995 tokens and still felt smooth at that point.
The same tool had often felt weak before, with poor answers, possible reduced model quality, , and other failures. One day later, the experience changed again, and felt much worse than it had a few days earlier.
Key points
- handled complex programming work well in one long session.
- The session reached about 453,995 tokens.
- Earlier problems included poor answers, possible reduced model quality, , and other failures.
- The next day, the same model felt much worse again.
- The main issue is not capability, but .