Unverified50% confidenceFactExact time
The context window refers to the maximum number of tokens a model can receive in a single request, including the system prompt, user input, retrieved materials and conversation history, etc.; anything beyond that is truncated or the request fails outright.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedEvery model has an upper limit on the information it can process in a single request (the context window), and when the total exceeds this limit, the request may fail or the system may automatically truncate part of the information.76% similarUnverifiedThe context window determines the maximum number of tokens a model can see in a single inference; when project files exceed the window, the model forgets earlier content, resulting in inconsistent code or even errors.70% similarUnverifiedEvery model has a context window limit, and the total number of input and output tokens cannot exceed that limit; exceeding it directly triggers an error.67% similarUnverifiedTo obtain the authoritative input token count, one should rely on the usage.prompt_tokens field in the server response, which is the statistic after the model's actual tokenization.66% similarVerifiedRAG converts user questions into vectors during the retrieval phase to recall document fragments, then injects the recalled content into the prompt during the generation phase, thereby reducing model hallucination.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1067687API
curl https://kongchang.com/api/v1/knowledge/claims/1067687MCP
get_claim(id=1067687)