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The actual OpenRouter data says otherwise.[1] Right now, Google leads with only 28.4% marketshare. Anthropic (24.7%), Deepseek (15.4%), and Qwen (10.8%) are the runners-up.

If this were winner-take-all market with low switching costs, we'd be seeing instant majority market domination whenever a new SOTA model comes out every few weeks. But this isn't happening in practice, even though it's much easier to switch models on OpenRouter than many other inference providers.

I get the perception of "winner-take-all" is why the salaries are shooting up, but it's at-odds with the reality.

[1] https://openrouter.ai/rankings



Openrouter data is skewed toward 1) startups, 2) cost sensitive workloads, and generally not useful as a gauge of enterprise adoption


But those are just the sort of cases that are more likely to switch to the latest, greatest and cheapest when they come around. The fact that even these haven't become winner takes all is a strong signal that these models have sticking power.


No because more than half of open router is character chat and writing ad copies… so it’s not indicative of the important use cases


The top 3 apps are Kilo Code, Roo Code, and Cline.

These are all coding assistants. While they can be turned into waifus they're not intended as such.


Now do aggregations across all apps not just top 3


Is there good public data on enterprise adoption?


I and most normal people can’t even tell the difference between models. This is less like an arms race and more like an ugly baby contest.


Actually that is decent data and reflective of current SOTA in terms of cost performance tradeoff




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