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Tīrtha Bench: the model data coders actually need (and what we're building next)
When you wire a model into a coding agent, the question is never "which model is smartest." It's narrower and more practical: which model makes the right tool call, how often, how fast, at what cost per correct answer, and on which host. We could not find that answered in one place, so we built it. It started as our own tool; today it's public and built for the dev community: tirtha.ai/bench .
At a glance
Models tested
68
On the one shared test
8, same 80...
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