Unverified50% confidenceFactExact time
Ultra模式通过推理时计算资源的差异化分配（更长推理链、更多验证步骤或更高采样参数）产生不同质量层次的输出
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/20/2026
First Seen
Valid until: 10/18/2026
Sources
Related Claims
UnverifiedInference-time computation improves output quality by allocating more computational resources during the inference stage while keeping model parameters fixed.75% similarUnverifiedMAX档本质是在单次推理中延长模型的思考链，让模型输出前进行更多内部迭代，而非调用更多并行资源74% similarUnverifiedThe core idea of the test-time compute paradigm is to shift resources from the training phase to the answer generation process, trading more inference compute for higher-quality output.74% similarUnverified推理时扩展在推理阶段增加计算量（如beam search、Best-of-N采样、蒙特卡洛树搜索），模型性能可随计算量增加持续提升并存在幂律关系72% similarUnverifiedTop-tier models employ techniques such as chain-of-thought or extended reasoning, generating a large number of intermediate tokens during inference, causing per-call token consumption to be several times that of ordinary models.72% similar
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