Unverified50% confidenceOpinionExact time
Turning off thinking mode can significantly reduce response latency and produce cleaner output, making it suitable for scenarios sensitive to real-time performance such as tool calls.
1
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50%
Confidence
Long-term
Relevance
11/1/2026
First Seen
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Related Claims
UnverifiedIn speed-sensitive, simple-task scenarios such as phone content analysis, disabling the thinking mode can achieve faster response times while maintaining sufficient quality.77% similarUnverifiedCommon means of reducing inference latency include using lightweight visual backbones, decoupling control frequency from decision frequency, using action chunking to output multiple steps of actions at once, and performing quantization or distillation on edge devices.77% similarUnverifiedThe value of fast mode includes reduced latency, saved compute resources (fewer token consumption), and improved interaction fluency.75% similarUnverifiedThe VRM AI Technology team lists inter-stage streaming (stage overlap) as one of the most effective means of reducing perceived latency: users can hear the beginning of the reply while subsequent content is still being generated, greatly lowering perceived latency, even though total end-to-end duration may not be shortened.74% similarUnverified将复杂指令拆解为多个专注的子模块有助于减少LLM在处理长指令时的注意力稀释问题73% similar
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