@tomas_hk: Today we’re releasing our methodology for evaluating model routing with interactive benchmarks, which represent agent c…

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Releasing a methodology for evaluating model routing with interactive benchmarks that achieve Pareto-dominance over leading benchmarks, offering higher quality at lower cost.

Today we’re releasing our methodology for evaluating model routing with interactive benchmarks, which represent agent cost accumulation better than static benchmarks do. Across leading benchmarks, we achieve Pareto-dominance, exceeding Opus xhigh quality at 20–80% lower cost. https://t.co/COqhkP9GPT
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Cached at: 09/02/26, 01:58 PM

Today we’re releasing our methodology for evaluating model routing with interactive benchmarks, which represent agent cost accumulation better than static benchmarks do.

Across leading benchmarks, we achieve Pareto-dominance, exceeding Opus xhigh quality at 20–80% lower cost. https://t.co/COqhkP9GPT

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@tomas_hk: yes it is have written our learnings here:

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A comprehensive guide explaining model routing as a technique to intelligently select the best AI model per request to optimize cost, quality, and latency, contrasting it with AI gateways and emphasizing its importance for agentic AI workloads.