reasoning-tokens

GLM 5.2 offers improved token efficiency, allowing users to achieve 98% of max-level intelligence using less than half the tokens. The model's 'high' effort level provides a practical alternative for day-to-day use compared to the resource-intensive 'max' level.

ConFu introduces a novel speculative decoding framework that enables draft models to anticipate future generation directions through contemplate tokens and soft prompts, achieving 8-20% improvements in token acceptance rates and generation speed over EAGLE-3 across multiple LLM models.