Why this path deserves its own playbook

Most "free token" lists only look at model vendors' own free tiers, which are small, tightly rate-limited, and reset daily. Cloud trial credits are different: they are account-level balance. As long as the cloud's managed model service bills against that balance, the money becomes inference tokens. The upside is that the amount is usually an order of magnitude larger than a model vendor's free tier. The downside is that it is time-boxed, expires, and almost always requires a payment method on file.

This article covers only three clouds, and only the combination of "official managed model service + trial credit." No aggregators, no third-party proxies.

Prerequisites (shared by all three paths)

  • A new account that has not previously spent money on that cloud (most trial credits go to "new customers" only; re-registering under the same identity usually fails).
  • A verifiable payment method. Note: attaching a card does not itself charge you, but once credits run out, billing flips to pay-as-you-go automatically. That is the single biggest risk.
  • Expiry awareness. Trial credits usually run on a fixed day window starting from activation, not from your first API call.

Path 1: Google Cloud → Vertex AI

Steps

  1. Register a new Google Cloud account and activate the trial credit on the Billing page. The amount and validity window are whatever the console actually shows, typically a fixed number of days.
  2. On the Billing page, confirm the credit is linked to the current billing account, not sitting in an unclaimed state.
  3. Enable the Vertex AI API (search "Vertex AI" in the API library, click Enable).
  4. In the Vertex AI console's Model Garden, pick a model that supports pay-as-you-go billing (Gemini family models usually qualify).
  5. Send one minimal request using the console's "Open in Colab" sample or a curl snippet, then verify the charge hit the trial credit rather than your card.
  6. Set budget alerts and a budget cap on the Billing page at 50% and 80% of the credit.

Eligibility and limits

  • Trial credits only cover in-scope services during the trial period; some models or regions may be out of scope. Verify line by line in the billing report.
  • After the trial ends, unused balance generally expires and does not roll over.
  • Once credits are exhausted, the default is continued pay-as-you-go billing. You must set budget alerts or close the billing account manually.

Path 2: Microsoft Azure → Azure AI Foundry

Steps

  1. Register a new Azure account and activate the trial allowance (Azure free accounts typically grant both a time-limited credit and a set of time-limited free services).
  2. In Azure AI Foundry (formerly Azure AI Studio), create a Hub and a Project.
  3. Inside the Project, create a model deployment using a token-based deployment type, not an hourly-provisioned instance — the latter burns balance fast.
  4. Note the deployment endpoint and key, and send one test request with the official SDK.
  5. In Azure Cost Management, create a budget and configure email alerts at 50% / 80% / 100%.

Eligibility and limits

  • The trial credit and the "free services" allowance are two different things: one is money, the other is a waiver for specific services. Do not conflate them.
  • Choosing the wrong deployment type (for example, provisioned throughput) drains balance by the hour instead of by actual usage.
  • Some regions or subscription types may not support certain model deployments; rely on what the console currently offers.

Path 3: AWS → Amazon Bedrock

Steps

  1. Register a new AWS account. AWS "free" is more fragmented: there is an account-level credit, plus per-service Free Tier usage.
  2. In the Bedrock console, request access to your target model (some models require an access request that must be approved before you can call them).
  3. Run one inference in the Bedrock Playground to confirm calls succeed.
  4. Open Budgets in the Billing console and set a budget plus alerts.
  5. Use CloudWatch to watch Bedrock invocation and token metrics and confirm the burn rate matches expectations.

Eligibility and limits

  • AWS "free" is mostly service-level Free Tier usage rather than a unified cash balance; how much Bedrock usage it covers depends on current Free Tier terms — always check the official page.
  • Some models require approval first, and approval takes time. Do not burn your window waiting.
  • Overages also flip to pay-as-you-go.

Shared steps: actually converting balance into tokens

  1. Prove the path before scaling: verify with a minimal request that the trial credit is what gets charged.
  2. Pin your config: put endpoint, region, model name, and deployment name in environment variables so you never accidentally hit a different, pay-as-you-go deployment.
  3. Set three gates: budget alert (50%), budget cap (80%), and request rate limiting in code.
  4. Track burn rate: log daily token consumption and balance change, then project remaining days.
  5. Decide before expiry: either migrate workloads back to a model vendor free tier or a local model before credits run out, or proactively close billing.

Caveats

  • Attaching a card is the risk: automatic conversion to pay-as-you-go after credits run out is the most common way this playbook goes wrong. Set a budget cap in advance.
  • Do not re-register with the same identity: most trial credits have identity de-duplication. At best you get nothing; at worst the account is banned.
  • Region choice affects availability: not every region supports both your target model and credit coverage.
  • Do not treat trial credits as a long-term plan: it is a one-shot window, good for prototyping and short load tests, not for production.
  • Compliance: enterprise accounts usually need internal approval to use trial credits; personal accounts should not be used for commercial production.

When this fits

  • You need to run a large batch of evals, dataset labeling, or model comparisons that a vendor's daily free-tier rate limit cannot handle.
  • Your team is doing a POC and needs to validate latency, region, and SDK compatibility in a real cloud environment.
  • You have already decided to commit to a cloud long term and want to use trial credits to settle the technical choice before paying.

Summary

Cloud trial credits are the most overlooked — and individually largest — category of free tokens. There are only three critical moves: confirm billing truly lands on the trial credit, set budget gates, and make the migration decision before expiry.