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  5. Efficiency Frontier
Evaluation & Benchmarks

Efficiency Frontier

The efficiency frontier describes the best tradeoff currently achievable between an AI model's capability and its cost or speed, distinct from the intelligence frontier of raw capability regardless of cost.

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A model can advance the efficiency frontier without being the most capable model overall — for example, by being fast and cheap enough to serve as a default across an entire product line, as commentators noted when Gemini 3.5 Flash was promoted to Google's enterprise default. Labs increasingly compete on both frontiers separately: pushing raw capability up, and pushing the cost of a given capability level down.

Related terms

AI BenchmarkFrontier ModelEval SuiteChatbot ArenaMCP AtlasMT-Bench