What is Test-Time Compute Scaling in Large Language Models?

Test-Time Compute Scaling improves model reasoning quality by allocating additional computation during inference rather than only during training.

Traditional AI systems rely primarily on training-time scaling:

However, modern reasoning systems increasingly benefit from scaling computation during inference itself.

Core idea: Allow the model to:

This mirrors human reasoning:

Key approaches:

2.…