Research Finding

# The Optimal Temperature for Gemini 3 Pro is 0.35

I ran 231 automated coding tests across the temperature spectrum. The results challenge the default settings.

## The "Reliable Cluster"

While Google recommends `1.0`, my benchmarks for complex JavaScript implementation show a distinct cluster of perfection between 0.0 and 0.5.

0.0 0.35 (Median) 0.7

### Why not the Average?

The mathematical average of our peak performers is 0.52. However, this is skewed by a statistical anomaly at Temp 1.8, which coincidentally scored perfectly. Relying on the average pushes the recommendation dangerously close to Temp 0.6, which failed to produce perfect code.

### Why the Median?

The median of 0.35 targets the exact center of the "Reliable Cluster." It offers the highest probability of reproducible success, avoiding the deterministic ruts of 0.0 while staying safely below the entropy threshold where logic breaks down.

## Conclusion

For production-grade code generation with Gemini 3 Pro, set your temperature to 0.35.