Benchmarks Compare Open-Source Raw Inference vs Closed-Source Wrapped Products
Stir_123 · reddit · 2026-07-06
The author points out that benchmarks are comparing raw inference of open-source models against the wrapped products of closed-source vendors: closed-source APIs may run RAG on proprietary documents, inject hidden system prompts per query, route to expert models, preprocess prompts, and call internal tools before generation, while Anthropic etc. also hide reasoning chains. This is like comparing a dyno test of an engine with an on-road test of a car with traction control and lane keeping. Therefore, the true model quality gap between closed-source frontier models and open-source models like GLM-5.2 may be far smaller than benchmarks suggest—the premium pays for peripheral tools and scaffolding, not raw model capability.
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