Unverified50% confidenceFactExact time
Output limit refers to the generation space a model can use in one continuous task, while context window refers to how much material a model can read in; the two are different metrics.
1
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50%
Confidence
Long-term
Relevance
10/5/2026
First Seen
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UnverifiedEvery time a model generates a token, the entire model must be read completely from memory, yielding the speed upper bound: memory bandwidth ÷ model size.72% similarUnverifiedThe upper limit of system memory capacity directly determines the size of model a user can run without sacrificing additional precision.70% similarUnverifiedThe 1 million token output limit refers to the ceiling on content the model can generate in a single response, not the context window (input) length.68% similarUnverifiedFP16格式下，大模型显存需求的估算公式为：参数量 × 2 = 所需显存（GB），即每个参数以16位（2字节）浮点数存储68% similarUnverifiedWhen deploying large models locally, VRAM usage consists of two parts: model weights and runtime memory (primarily the KV cache)68% similar
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