There are thousands of evals to judge the best AI. But the best one is: What are people paying for? Using OpenRouter usage data, we can calculate the API revenue of the top models:
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Estimated revenue per model using OpenRouter pricing. Recent weeks use a complete per-model feed that reports every model separately with prompt and completion tokens split out, so revenue is computed directly. Earlier weeks come from a feed that broke out only the top nine models per week and pooled the rest into an “Others” bucket worth roughly a third of all tokens; there, revenue assumes 1.5% completion tokens and the pooled tokens are valued at the blended rate of the named models. Completed promotions can be back-adjusted using post-promo baselines when configured. Dashed vertical rules mark weeks where a large model dropped out of the old breakdown, which reads as a drop but is a reporting change; the solid orange rule marks where the complete feed takes over.
And from this, we can get a rough estimate of the relative API usage dominance of the different labs:
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Estimated revenue per lab using OpenRouter pricing. Recent weeks use a complete per-model feed that reports every model separately with prompt and completion tokens split out, so revenue is computed directly. Earlier weeks come from a feed that broke out only the top nine models per week and pooled the rest into an “Others” bucket worth roughly a third of all tokens; there, revenue assumes 1.5% completion tokens and the pooled tokens are valued at the blended rate of the named models. Completed promotions can be back-adjusted using post-promo baselines when configured. Dashed vertical rules mark weeks where a large model dropped out of the old breakdown, which reads as a drop but is a reporting change; the solid orange rule marks where the complete feed takes over.
Normalizing to 100% makes it easier to see how each lab's share of the pie is changing over time:
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Each lab's estimated revenue as a percentage of the weekly total across labs the source names individually. The untracked “Others” bucket is left out of this denominator so the comparison stays readable; it is included in the absolute charts above. Dashed rules mark weeks where a large model dropped out of the breakdown, which lifts every remaining lab's share mechanically.