Unverified60% confidenceFactExact time
A 200K token context request requires approximately 25× the KV-Cache memory compared to an 8K token request.
2
Sources
60%
Confidence
Long-term
Relevance
7/15/2026
First Seen
Sources
Related Claims
UnverifiedThe attention matrix size required to process a 128K token sequence is 256 times that of an 8K token sequence.72% similarUnverifiedWith a 256K prefix already cached and 4 users, 95% of requests get their first token within 1.66 seconds.72% similarVerifiedTaking LLaMA-2 70B as an example, when processing a 4096-token context with a batch size of 32, the KV Cache can consume over 80 GB of memory.72% similarPartially VerifiedHugging Face calculates that the KV cache under BF16 is about 250 KB per token, and a full 1-million-token context requires about 266 GB.72% similarUnverifiedIn computer use, the system prompt adds 466–499 tokens, each tool definition adds 735 tokens, and each screenshot consumes roughly 2,000–5,000 tokens.71% similar
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