Expired50% confidenceFactExact time
Traditional conversational AI typically has a context window of a few thousand to tens of thousands of tokens
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Getting Started with Claude Code: Core Advantages, Tool Comparisons, and Installation Guide
bilibili我真不会大模型6/14/2026
Related Claims
Unverified在一个对话窗口里，提问轮次越多，后面每一轮消耗的Token就越大，因为历史对话会被拼接重新发送69% similarUnverifiedIn multi-turn agent conversations, token consumption is often 5–10 times that of ordinary conversations due to the need to carry tool call results, historical context, and system prompts.68% similarUnverifiedThe context window of large language models is limited, and the length of text that can be processed in a single inference is typically tens of thousands to hundreds of thousands of tokens.68% similarUnverifiedMost AI character chat applications rely on Large Language Models (LLMs) at their core68% similarUnverified150,000 tokens correspond to approximately 100,000–120,000 English words of total input and output, which translates to roughly 3,000–5,000 lines of code plus a large volume of contextual dialogue and terminal interaction records.66% similar
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