Unverified50% confidenceOpinionExact time
工作中90%的场景用MiniMax这样的中等模型即可解决,模型选择应基于任务复杂度而非盲目追求参数规模
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/22/2026
First Seen
Valid until: 11/20/2026
Sources
Related Entities
Related Claims
UnverifiedHarmonyOS 7 can run models with 30B parameters on-device without internet connectivity, with a complex task success rate exceeding 90%.66% similarUnverifiedResearch shows that decomposing complex tasks into subtasks with a single responsibility can improve LLM task completion accuracy by 20%–40%.66% similarUnverifiedAgent tasks require multiple model invocations, and a 12B model on a consumer-grade GPU already takes several seconds per inference, causing the time cost of multi-step tasks to accumulate significantly.63% similarUnverifiedEvery interaction an AI agent has with a large model consumes tokens; a single complex task may trigger dozens of model calls, with each call typically incurring a latency of 1–10 seconds.63% similarUnverifiedRule- and classifier-based routing solutions are typically built on DistilBERT, sentence embedding models, or fine-tuned small language models, with inference latency generally kept within 10 milliseconds.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/787108API
curl https://kongchang.com/api/v1/knowledge/claims/787108MCP
get_claim(id=787108)