Open models gain eval advantage when benchmarked by dollar cost vs tokens

When inference budgets are held constant in dollar terms rather than token count, open models gain a structural reporting advantage over closed APIs due to lower cost per token. This framing, derived from Noam Brown's stated principle of constant inference budgets for evals, means open model developers can show higher thinking levels at equivalent dollar spend on providers like Together or Fireworks.