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newsReddit r/MachineLearningTrust 72 · CommunityPublished 1mo agoLive · 1mo ago

I compiled LLM inference pricing across 7 providers — the caching numbers are surprising(spreadsheet included) [R]

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Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

PossiblePossibly related (embedding) · 49%LMCache/LMCache →
PossiblePossibly related (embedding) · 48%ModelEngine-Group/unified-cache-management →
PossiblePossibly related (embedding) · 51%xcena-dev/maru →
PossiblePossibly related (embedding) · 62%test5630352/llm-cache-optimize →
PossiblePossibly related (embedding) · 47%cnighswonger/claude-code-cache-fix →

Covers (incoming)

repoLMCache/LMCache repoModelEngine-Group/unified-cache-management repoxcena-dev/maru repotest5630352/llm-cache-optimize repocnighswonger/claude-code-cache-fix

Related across the graph

repotest5630352/llm-cache-optimize repoLMCache/LMCache repoModelEngine-Group/unified-cache-management repoxcena-dev/maru repocnighswonger/claude-code-cache-fix