Unverified50% confidenceBenchmarkExact time
At approximately 115K context, the model requires about 21 minutes of waiting before it begins generating, decoding drops to approximately 14 tok/s, but all four integrity checks pass.
1
Sources
50%
Confidence
Long-term
Relevance
10/2/2026
First Seen
Sources
Related Entities
Related Claims
Unverified对于参数量达数千亿的模型，单次检查点的写入可能需要数十分钟，整个故障恢复过程可能耗时30分钟到数小时不等77% similarUnverifiedGenerating one result took approximately 26 minutes, though the tester was simultaneously playing games which may have slowed things down.74% similarUnverifiedOn the B200, a single 3-question guardrail check was reduced from 11.6 ms to 2.8 ms, and Laya's loading time was shortened from approximately 17 seconds to approximately 9 seconds72% similarUnverified在跨Slack、Linear、Notion和Git仓库评估产品发布风险的场景中，挂载方案某证据收集阶段仅耗时约0.3秒，而MCP方案花费约一分钟并进行21次调用，其中约30秒消耗在工具调用本身72% similarUnverifiedTime-to-first-token latency is the most discouraging factor in local large model deployment, with first-response wait times exceeding 100 minutes at 256K context and two to three hours for 300K+ context.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/968807API
curl https://kongchang.com/api/v1/knowledge/claims/968807MCP
get_claim(id=968807)