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Developer benchmarks cost of correct AI agent answers, finds routing strategy key

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A developer created a benchmark to measure the cost of each correct answer produced by AI agents, rather than just the cost per model call. The benchmark uses 24 small tasks across three difficulty levels and includes deterministic checkers. Initial results from five models on five easy tasks show Gemini 2.5 Flash performed perfectly while others had errors. Testing of routing strategies found tiered routing matched top accuracy at 29% lower cost, but revealed cheap models can have low cost-per-correct with high error rates.

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