Unverified50% confidenceFactExact time
All four models have a context length of 1 million tokens.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/11/2026
First Seen
Valid until: 1/9/2027
Sources
Related Entities
Related Claims
Unverified1.9TB of memory could theoretically accommodate ultra-large models at the hundreds-of-billions-of-parameters scale, or simultaneously load multiple models for comparative testing or parallel serving.71% similarVerifiedThe context window of large language models has expanded from 4K to the million-token level.69% similarVerifiedIn FP16 precision, large models require approximately 2 GB of VRAM per 1 billion parameters.69% similarUnverifiedThe context window of LLMs has expanded from the early 4K tokens to hundreds of thousands of tokens, enabling models to maintain state across complex multi-step tasks67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/995476API
curl https://kongchang.com/api/v1/knowledge/claims/995476MCP
get_claim(id=995476)