Unverified50% confidenceFactExact time
Every 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.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedConstrained decoding can only constrain the legality of the token sequence but cannot constrain semantics; models can still output incorrect enum values or out-of-range numbers.75% similarUnverifiedA model's context window has a physical upper limit and cannot ingest all information from an entire large codebase at once, which may result in code changes that are locally optimal but globally incorrect.70% similarUnverifiedAutoregressive models generate token by token, and if they miscount characters or miss a constraint at some intermediate step, the error accumulates forward and causes an overall collapse.70% similarUnverifiedLLM API requests have a strict limit on the amount of data per call, and untruncated error logs may exceed this limit, rendering the conversation unusable67% similarUnverifiedEvery 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.66% similar
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