Optima tackles AI benchmarking’s biggest flaw by letting users test models against their own data

Illustration of a man standing in front of a piece of machinery, holding a diagram. Next to him, charts and stopwatches show a comparison of AI benchmarks based on performance, cost, and speed.

Artificial Analysis has launched Optima, a platform that lets users build custom AI benchmarks from their own data and workflows. Models can be compared not just on quality but also on cost and time per task. For agent-based applications, those metrics often tell you more than raw token pricing.

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