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Know what AI costs. See what you get back.

Understand spending, share budgets and connect AI use to the work it supports.

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Buy tokens, rent GPUs, or own the rack?

Open-weight models are now good enough to make self-hosting a financial question rather than a capability one. I modelled four options, an office rack, colocation, rented GPUs and per-token APIs, to find where each one actually wins. The answer turns on utilisation, and it isn't the one the internet keeps giving.

Turn a $3m AI bill into $1.9m

Most teams overpay for AI twice without noticing: they run everything through the default flagship model, and they buy the tokens on a metered plan they can't see into. An intelligent proxy fixes both. Here is the maths, a calculator you can drag, and where Flowstate fits.

Start with the work All use cases

Understand AI spending and value

See where the budget goes and what the business gets back.

Share one AI budget across your tools

Fund people, teams and projects across connected services.

Give your team more capacity

Reduce the preparation, checking and follow-up around recurring work.

Connect AI use to delivered work

Follow AI activity into projects, code and business results.
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Flowstate / People + AI Talk through your priorities
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Docs / AI spending & adoption

Models

Resourcing → Agents & copilots → Models is a catalogue of AI models: who makes each one, what it can do, and what providers charge for it. Use it to compare models before committing an agent or a team to one.

Flowstate updates the catalogue every day from the public models.dev index.

Find a model

  1. Open Resourcing → Agents & copilots → Models.
  2. Search by model, lab or provider.
  3. Narrow the list with Filter: Tier, Provider, Modality or Context window.
  4. Use Sort to order by Recently updated, Name, Context window, Provider count or Blended cost /1M.

Read the list

ColumnWhat it shows
ProvidersThe providers that serve the model
ContextHow many tokens the model can take in at once
TierIts capability tier: Apex, Frontier, Workhorse or Light
Input /1M and Output /1MThe cheapest published price, in US dollars per million tokens
UpdatedWhen the model’s entry last changed

Select a model to see its release date, knowledge cutoff, capabilities such as Reasoning and Tool calling, and Pricing by provider, including cache prices.

To hear when a lab releases a new model, create a New model releases alert. See Alerts.