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Small language models

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Will small language models replace larger ones for on-device AI?

Small models are becoming the default for narrow, privacy-sensitive tasks, while frontier models remain stronger for broad reasoning and high-complexity work.

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Sources and claims

01
Small Language Models: Survey, Measurements and InsightsarXiv · May 2025
Report
96
02
Gemma 3n model architecture and deployment guideGoogle AI · May 2025
Documentation
88
03
On-device AI is reshaping the economics of inferenceMIT Technology Review · Jun 2025
Article
91
SupportedSmall models are a cost-effective fit for constrained and privacy-sensitive tasks.

Multiple independent sources agree on the latency and cost benefits.

ConflictingSmall models will replace frontier models across all reasoning tasks.

The evidence supports specialization, not a wholesale replacement.

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