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OpenRouter raises $113M Series B

openrouter.ai

131–140 of 279 posts

Re: OpenRouter raises $113M Series B

#131

Why does a company with a seemingly health business model that is already churning profits and doesnt require large CapEx, taking losses to capture users, need to be raising this kind of capital?

Maybe they want to build their own cloud infrastructure, host open source models themselves as an inference service provider?

Re: OpenRouter raises $113M Series B

#133
post #78
post #6

It took me quite a while to come round to OpenRouter. Originally I didn't understand why anyone would put a proxy between them and an LLM, but it actually adds some quite significant value: 1. By far the lowest friction way to support and try out all the models. 2. They offer billing caps! Most model providers still don't do this [EDIT: maybe they do, see reply comment], but if you're going to run anything in public…

I love their product and use them myself. But where's the value proposition for investors? Unless they get purchased by one of the large cloud providers, they will get pushed out of the market sooner or later. What's the value proposition for the typical AWS startup to go with openrouter, if Amazon offers similar rates with direct integration into all their other offerings? The only reason OpenRouter can exist at the…

AWS does not provide nearly as many different models as OpenRouter. Perhaps they have an incentive to not do that, move slower as a big company or more legal risks to consider. If AI model outputs becomes commoditized then having one place where you can switch effortlessly from one to the next based on price might just justify OpenRouter. It could become a commodity marketplace/exchange.

Re: OpenRouter raises $113M Series B

#134

Earlier quoted context omitted.

Another neat thing is, they publish hourly caching states for ALL model/provider combinations. I did some research on it to come up with a provider tiers list and found a bunch of open-source 3rd party hosts are simply trash tier https://dirac.run/posts/cache-hit-rates-agents

Agents push the full conversation history into context every turn Why? Maybe this is a dumb question, but why wouldn't an agent "keep the conversation going", like I do when interacting with an LLM through a web page? (I understand how it's impractical for long-running tasks where the agent has to wait days for the next input, but assume that's not the majority of use cases)

BTW, the openai responses api has a store parameter and a thread id input. Makes it possible to send a thread id and append a new message, ask for completion. So it feels like keeping the conversation going.

Technically it does retrieve the entire history and reevaulate it since the LLM is stateless. Just more ergonomic for the developer.

And prompt caching helps cut the costs down when a conversation drags on.

Re: OpenRouter raises $113M Series B

#136

At what valuation? I’m a user and I like the routing layer and not having to change things up too much, but I’m not sure why a solid business model for this product would require this much money at this kind of valuation unless they’re trying to buy data center capacity to self-host models eventually?

Yes. Happy for the team but I do not like that this likely means for the future growth expectations as a customer. Hint: probably higher costs and being squeezed more.

Re: OpenRouter raises $113M Series B

#137

I was sort of hoping that they were bootstrapped or at least non-VC funded. I'm wary of them introducing consumer-unfriendly revenue-generating schemes.

How about HuggingFace?

Hugging Face is most definitely not bootstrapped.

Re: OpenRouter raises $113M Series B

#138
post #78
post #6

It took me quite a while to come round to OpenRouter. Originally I didn't understand why anyone would put a proxy between them and an LLM, but it actually adds some quite significant value: 1. By far the lowest friction way to support and try out all the models. 2. They offer billing caps! Most model providers still don't do this [EDIT: maybe they do, see reply comment], but if you're going to run anything in public…

I love their product and use them myself. But where's the value proposition for investors? Unless they get purchased by one of the large cloud providers, they will get pushed out of the market sooner or later. What's the value proposition for the typical AWS startup to go with openrouter, if Amazon offers similar rates with direct integration into all their other offerings? The only reason OpenRouter can exist at the…

If you believe there will be lots of LLM providers in the future, then OpenRouter could be a DoorDash play.

Established restaurants didn't need DoorDash because they were already on everyone's speed dial. But new or small restaurants couldn't afford to advertise or maintain a team of delivery people. DoorDash created a two-sided marketplace that made it a lot easier for new entrants to bootstrap. Today even the established restaurants have to pay them their tithe because hungry people have learned to start with the DoorDash app. A bit of a prisoner's dilemma.

If OpenRouter plays its cards right and gets very lucky, a large number of people will configure their hungry LLM clients to start with OpenRouter, and then LLM providers will have to join the marketplace or else miss out on all those customers.

Re: OpenRouter raises $113M Series B

#139

What's the business model? Their core functionality, while useful, seems like something that will just be an open-source package. I assume there will be some Saas layer on top of it?

Collect and sell data would be my guess. Without ZDR by default they are in a position to collect a crazy amount of data that I’m sure various buyers would be interested in (not just the big labs).

Re: OpenRouter raises $113M Series B

#140

Too bad api use is like 100x more expensive than subscriptions for the big 3.

I think subscriptions are not going to last for serious users. Great to use them while we can, but AI does not fit the “power user subsidizes free/cheap users” model, nor the “support tens of thousands of customers from a small number of cheap servers” model. Everyone is a power user, and everything is computationally expensive.

I think the trick is to limit programmatic usage as Anthropic did. This way, power users' usage is uneven, allowing the model you describe.
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