Économies mesurées sur 11 LLMs — Claude Opus 4.7 à Gemini Flash.→ Voir les données par modèle
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Cost of Inference

Cost of Inference — 12 LLMs benchmarked across 3 production workloads (May 2026)

Same RAG pipeline, 12 different models, 52× cost spread between cheapest and most expensive. Updated pricing snapshot 2026-05-21.

1 min read

A typical RAG pipeline running 1000 queries per day costs $3.00/day on the cheapest catalog model (gpt-5.4-mini) and $157.50/day on the most expensive (claude-opus-4.7). That is a 52× spread for the same workload, before any quality difference is factored in.

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Method & sources
Source type
Original analysis (gotcontext.ai pricing catalog snapshot — no external source)
Published
UTC
Byline
By the gotcontext.ai team (editorial standards)
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