Unverified50% confidenceOpinionExact time
Local open-source-weights inference costs close to zero, can work offline, and keeps data on the device, so it does not grow linearly with listing volume.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
Unverified自托管开源模型以固定基础设施成本换取边际调用成本趋近于零，调用量超过特定阈值后产生经济拐点77% similarUnverifiedRunning locally shifts the computational burden to the user's own hardware, and "zero cost" means no additional payment rather than no resource consumption.73% similarUnverifiedRunning locally means zero marginal cost with no cloud computing expenses, and therefore no subscription threshold.73% similarUnverifiedCloud APIs are typically billed per token, whereas once a local model deployment is complete, the marginal cost per call is nearly zero, requiring only hardware and electricity expenditure.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1022199API
curl https://kongchang.com/api/v1/knowledge/claims/1022199MCP
get_claim(id=1022199)