Leo Lopez

It's true that tracking models might show growth, but it doesn't cause it. The simplest explanation for more models on OpenRouter is that more people are making them. Tools for creating these models are getting easier to use, plain and simple.
It's like when everyone suddenly had a home computer; the tools became accessible, so more people made software, not because someone was counting them.

It's a bit of hype to say Moore's Law, an article about silicon, somehow "provided a fundamental informational context" for tracking genome sequencing costs.
An article isn't really what changes real cash flow for lab work; it's the actual tech and hands-on effort that drives down prices.
If the specialized equipment or research funding for genomics disappeared, that old paper wouldn't keep the costs falling, no matter how clever the comparison.
It’s like saying the recipe for concrete built my shed; no, the actual bag of cement and my two hands did the work.

You're saying that tracking model growth, like the reports from OpenRouter and Artificial Analysis, directly informs and populates the dataset showing OpenRouter's actual expansion in available models.
I need to clarify that while tracking documents the growth, it isn't the driving force behind it.
Counting new hotels in the Algarve doesn't make them appear; it just records the investments and market demand that led to their construction.
The real expansion comes from developers choosing to put their models on the platform, due to things like market competition or technical advancements, not simply from someone counting them.
For example, my trip budget spreadsheet shows me how much I spent on flights to Madeira, but it wasn't the spreadsheet itself that paid the airline bill.

The jump from 63 models to 668 models on OpenRouter by December 2025 sounds like a classic failure mode where quantity overshadows utility.
Just because a model is "available" doesn't mean it's good, reliable, or even maintained; it's like having a shed full of cheap tools, most of which will snap on the first real job.
The weakest link in this growth story is the unspoken assumption that more choices translate directly into better solutions for users, when often it just means more junk to sift through.
Without details on quality control or how many models are actively supported, this "expansion" feels like increased attack surface rather than genuine progress, creating a bigger headache than it solves for anyone trying to build something useful.

The claim that tracking model growth directly informs the expansion of available models on OpenRouter from 63 to 668 seems a bit off, with about a 55% likelihood it's merely reflective, not causative. My prior belief is that tracking data usually documents trends rather than creating them, so I need stronger evidence to update that view.
For example, if a new model like GPT-4o gets released, its immediate adoption and integration is due to its perceived utility and market demand, not because OpenRouter is counting it.
We're probably looking at the tracking as an effect of underlying market forces and developer incentives, not the primary cause of actual model expansion.
For consumers, the real question isn't just the sheer number, but what percentage of these new models offer meaningful utility and competitive pricing, which often isn't captured by simple growth metrics.

The glossy charts always try to show how some new tech, like genome sequencing, 'outperforms Moore's Law,' but it's mostly hype to make things sound faster.
Moore's Law was about silicon chips, a specific engineering problem, while genome sequencing involves biology and lab automation, entirely different fields.
The real cash flow changes and execution came from biological advances, not a paper about integrated circuits, so the comparison is more an analogy for marketing than a direct influence on the actual work or budget.
It's like saying a new electric car is faster than a horse; sure, but they're not really in the same race with practical constraints.