Everyone has different needs, different existing environments, different service expectations+++
So you can't effectively stick to one price for the "large" tier. Given the differences in complexity and capacity consultants are needed. Startups can't build in-house service teams - the economics are misaligned. Not that you can get away from consultants if you buy from Salesforce, Oracle, SAP, or IBM...
Plus there are issues in terms of pricing and domain expertise across different industries - Federal, Education, Health.. legal issues in what your pricing can be and serious issues around their compliance environment means you need different teams of people to serve different verticals.
If you really need HA you are going to call anyways to negotiate. No one puts 15000 licenses on a credit card.
Since there aren't that many true enterprises that will allow you to test public prices like you can with consumer and SMB products, you have to go private.
The political dynamics you mention apply to developer pull products but you can easily fix that by calling or sending an email. In many Enterprise cases you want to talk to a VP or CXO for a full deployment and the free and medium offers cover the developer pull demand. If you really don't want to talk to sales AND you can spend $500k+ a year, you're a very rare case.
Why not communicate using a made-up or real life anonymized case-study? Example: For <n> people organization, with an environment of type <description>, it typically costs <$x> per user. To be really effective give 2, 3 such example scenarios.
Potential customers would be more than happy to extrapolate from this data to start their internal discussions.
s/extrapolate from/fixate on/.
Seriously, even made up "anchors" for potential enterprise pricing have a tendency to really severely mess up purchase negotiations--for both the vendor (losing them sales when the customer says "it's going to cost four times the example number for a company our size because we need it to integrate with our bespoke, ancient CMS/IAM solution? Hard pass!") and the customer ("this was supposed to be a productivity adder, but since it won't integrate with our bespoke, ancient CMS/IAM solution at a price we can afford, we'll have to train everyone on new processes and duplicate data/access credentials all over the place, making it a time waster and security hole.").
Number of employees and environment type (whatever that means) are not indicative of enough common scenarios in the large-enterprise space to be used to automate pricing decisions.
That's not a statement in favor of opaque pricing or service-provider-highway-robbery; just an observation of the real complexities of big (and often old), unique businesses.
Who knows if that had any influence on their success?