Expired80% confidenceFactExact time
The 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.
4
Sources
80%
Confidence
Medium-term (~90 days)
Relevance
7/9/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/7/2026(expired)
Sources
Getting Started with Vibe Coding: Building Software with Natural Language from Scratch
bilibiliAI产品经理入门--7/2/2026
Related Claims
UnverifiedLarge language models typically have parameter counts in the tens to hundreds of billions, which exceeds the VRAM and compute capacity of a single personal device for full inference.80% similarUnverifiedTraditional large language models are limited by context window sizes, typically handling only a few thousand to tens of thousands of tokens, making it impossible to process an entire project at once.79% similarUnverified最新的大语言模型支持12.8万到100万token的上下文，但处理数十万字长篇小说时仍会出现信息遗忘和前后矛盾79% similarUnverifiedA million-level context window can process approximately 750,000 words of text simultaneously78% similarUnverified对于英文代码1个token大约对应4个字符，100万token的上下文窗口大约等同于75万个英文单词78% similar
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