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View original post on X: OpenRouterOfficial
Published
23/100

Choosing models by accuracy, cost, and latency with evals

AIOpenRouter's Chris Clark and Mercor's Osvald Nitski discuss how evals help teams decide when to optimize, switch models, or train their own as inference bills rise. The post frames model choice as a trade-off among accuracy, cost, and latency.
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When your inference bill starts climbing, choosing the right model becomes a question of accuracy, cost, and latency.

In our latest New Defaults, OpenRouter’s @cclark sat down with @OsvaldNitski from @mercor to discuss how evals help teams decide when to optimize, switch models, or train their own.

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Original title: When your inference bill starts climbing, choosing the right model becomes a question of accuracy, cost, and latency.