OpenAI vs Anthropic vs Google AI startup credits

Google’s AI tier is the largest of the three by an order of magnitude and the hardest to qualify for. Anthropic offers the largest self-serve model credit. OpenAI’s is mostly partner-routed, so without a fund or accelerator behind you it is the smallest.

Model credits and cloud credits get filed together and they are not the same purchase. A model credit pays for tokens against one vendor’s API; a cloud AI tier pays for the machines underneath, including the ones you would rent to serve a model you host yourself.

That distinction decides the order to apply in, and it is why the three figures below are not comparable as numbers. What is comparable is how hard each one is to actually get, which is the column most write-ups leave out.

Side by side

Amounts and terms come from our catalog, not from this article.

ProgramPublished amountBest forThe catch
Google for Startups Cloud Program$200,000Teams training or serving their own models. The AI track is the largest allocation any major cloud publishes.The AI tier expects the model to be structural to the company rather than a feature, and the larger track wants an institutional round: angel, grant and crowdfunding money is explicitly excluded from it.
Anthropic for Startups$25,000Teams building on the Claude API who want a real credit without a fund or a programme behind them.The catalog records a company-age ceiling on it, and the balance only spends against one vendor’s API, so it is worth nothing the day you switch models.
OpenAI for Startups$5,000Startups inside an OpenAI partner network, where the routed allocation is many times the self-serve figure.Our eligibility data marks it as needing a partner referral. Applying cold gets you the small tier, not the number people quote at you.

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What we would actually do

Take the model credits first, they are free options

Neither Anthropic nor OpenAI reduces what a cloud will give you, and both cost a form. Claiming them before you commit to an architecture keeps the decision open, which at this stage is worth more than the dollar figure attached to either.

Never let a credit pick your model

A token credit is worth roughly a month of runway at seed scale. Rebuilding prompts, evals and tool schemas around the wrong model costs several times that, and you pay it after the credit has lapsed rather than while it is helping.

Google’s AI tier is the one worth a real application

It is the only allocation here large enough to change an infrastructure plan, and its requirements are specific rather than vague: an AI-first product and a qualifying round. If you clear both, put the effort into that form and treat the other two as paperwork.

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Common questions

They do. Token credits bill against a model vendor’s API and cloud credits bill against infrastructure, so they cover different lines and neither program asks for exclusivity. Holding all three at once is ordinary rather than clever.

Broadly, a product that does not exist without the model. Reviewers look for it in the core of what you sell rather than in a support chatbot or an internal productivity tool, and they read your public site to decide rather than taking the claim on the form.

Usually, because the balance applies to your API account rather than to a named endpoint. Dedicated capacity and enterprise features are the common exclusions. Each program page records what we have verified and says so plainly where the provider publishes nothing.

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