Same Model, Different Quality: Endpoint Accuracy Varies 73%–100% Across Providers
ArtificialAnlys · x · 2026-08-21
Artificial Analysis hosted its latest "Inference, Measured" event in San Francisco, exploring how the same model is not always the same product — covering serverless inference, the Endpoint Accuracy Index, and AA-AgentPerf.
The new Endpoint Accuracy Index works by self-hosting released weights as a 100% reference, then measuring each provider's endpoint with the same three evaluations and scoring relative to that reference. Results ranged from 73% to 100% across providers.
Quantization, KV-cache compression, and context limits can all degrade quality — differences that never show up on a pricing page. Full results are available on their website.
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