Unverified50% confidenceFactExact time
The vocabulary size of modern LLMs ranges between 50,000 and 200,000.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/13/2026
First Seen
Valid until: 1/11/2027
Sources
Related Entities
Related Claims
UnverifiedThe total number of high-quality tabular datasets may be only around 50,000.56% similarUnverified100万Token意味着模型理论上可一次性处理约50-75万汉字53% similarUnverifiedThe team released three datasets: JEdit-1M (million-scale image editing), JMaze-200K (approximately 200,000 maze samples), and JNono-200K (approximately 200,000 nonogram samples).52% similarUnverified训练与美国同等规模模型需要五万张顶级英伟达卡或二十万张华为95052% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1022414API
curl https://kongchang.com/api/v1/knowledge/claims/1022414MCP
get_claim(id=1022414)