Unverified50% confidencePredictionExact time
Extrapolated at 1 million requests per day over 30 days per month, Fable 5.1 could save about $211,000 per month while Haiku 5.5 saves only about $1,900; this extrapolation is arithmetic based on the measured per-request cost, not another actual measurement, and excludes HotKV's own hosting and operations costs.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/19/2026
First Seen
Valid until: 11/2/2026
Sources
Related Entities
Related Claims
UnverifiedIn a mid-tier model scenario of 100,000 queries per month (baseline cost about $1369 per month), switching to a small model saves about $980 per month (72%); retrieving 3 chunks instead of 5 saves 1000 input tokens per query, saving $200.77% similarUnverifiedUnder the reference workload (1,100 tasks per month, each with 12K fresh input, 48K cached input, and 6K output tokens), enabling caching saves about $190 per month compared with not enabling it.74% similarUnverifiedFor a system processing an average of 10 million requests per day with approximately 500 tokens each, every $0.01 increase in the price per million tokens adds approximately $1,500 to monthly costs.72% similarUnverifiedUnder the same H100 configuration, the cost per million output tokens is about $0.22–0.23 under an 8-request concurrent load.72% similarUnverifiedThe author's monthly running cost for local LLM inference in the first three months (hardware amortization plus electricity) was about $58 to $73, versus a cloud API monthly bill of about $180 to $240 at equivalent usage, a net saving of $107 to $180 per month, breaking even around the fourth month.72% similar
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