Unverified50% confidenceFactExact time
大模型调用的计费单位是Token而非请求次数，响应时间从毫秒级变为秒级甚至分钟级
1
Sources
50%
Confidence
Long-term
Relevance
7/25/2026
First Seen
Sources
Related Claims
Unverified传统唤醒词检测模型（KWS）参数量通常在100KB到1MB量级，需在毫瓦级功耗下以极低延迟持续运行63% similarUnverifiedA model's context window is measured in tokens, and information exceeding the window length is forgotten; for example, a model supporting 8,000 tokens can only process that amount of information at one time.63% similarUnverified同等参数的Dense模型在没有MTP的情况下，生成速度通常只有40-50 tokens/s62% similarUnverifiedTaking a 7B parameter model as an example, each additional 1K tokens of context consumes approximately 0.5–1 GB of GPU memory.61% similarUnverifiedRive's runtime footprint is extremely small, typically requiring only a WASM runtime of a few dozen KB61% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/615299API
curl https://kongchang.com/api/v1/knowledge/claims/615299MCP
get_claim(id=615299)