Which AI Providers Give Free AI Credits With No Credit Card?
The card-free layer is bigger than most founders assume. It has three parts: dollar-denominated credits from inference platforms, permanent free tiers from specialist hardware companies, and small trial balances from the frontier labs, all claimable before any payment details are entered.
That layer is for evaluation, not runway. It is how you test six models against your own data in an afternoon instead of choosing one on reputation and finding the problem in production.
AI Perks tracks $7.7M in credits across 194 companies, including which of them ask for a card at the door.
| Provider | Card at signup | What the free access gives you | Value |
|---|---|---|---|
| Replicate | Not required | Per-second inference across a large open-model catalogue | $500 for new accounts |
| Cerebras | Not required | Permanent free tier on open models | 1,000,000 tokens per day |
| Groq | Not required | Permanent free tier, rate limited per minute and per day | 30,000 tokens/min, 14,400 requests/day |
| Google AI Studio | Not required | Gemini Flash free tier with daily quotas | A quota, not a dollar balance |
| OpenAI | Not required for the trial | Trial balance on the API | About $5 |
| Anthropic | Not required, phone verification is | Trial balance on the Claude API | About $5 |
| Together AI | Not required for trial credits | Inference across 100+ open models | $25 to $50 on signup |
| Mistral | Not required for trial credits | La Plateforme API plus a free model tier | $25 to $50 on signup |
| Bolt.new | Not required | Monthly token allowance for full-stack prototyping | 1M tokens per month |
Free tier limits are the most volatile numbers on this page. Providers revise them without notice, and Google removed Gemini Pro from the free tier in April 2026. Treat the table as the current shape, not a guarantee, and check the live position at getaiperks.com.
Why No Credit Card Is a Real Constraint, Not a Preference
A card on file is not just friction. It converts a capped experiment into an open-ended billing relationship, changing the worst case from a rate limit error to an invoice.
Four reasons this comes up, none of them about affording $20:
Blast radius. An agent stuck in a retry loop against a metered API produces a bill. The same loop against a free tier produces a 429. Hard caps are a safety feature while your orchestration code is young.
Entity timing. Plenty of products get built before the company exists, and few founders want six AI vendors billing a personal account they must later unwind.
Geography. Card acceptance is uneven across providers and countries, a quiet reason non-US founders end up on a narrower menu of models than their competitors.
Auto-conversion. Card-gated trials are designed to roll into paid plans. A card-free start removes the calendar reminder, and the forgotten subscription behind it.
What Card-Free Free Tiers Actually Cost You
You pay in model quality, rate headroom and support, in that order. Frontier models are almost never in the free tier, and that is the tradeoff that matters.
Permanent free tiers run open-weight models like Llama, Qwen and DeepSeek distillations. Those are capable for classification, extraction, routing and summarisation, and not where you put the reasoning step your product's reputation depends on.
Three constraints to design around:
Rate limits shape architecture, not just throughput. A per-minute token ceiling pushes you toward batching and queueing, good engineering anyway and occasionally a dealbreaker for interactive features.
There is no support surface. No SLA, no account manager, no priority during an incident. Fine for a prototype, hard to justify for anything a customer depends on.
Terms on free tiers can differ from paid ones, including around data handling. Read them before free inference touches customer data.
How Card-Free AI Costs Behave at Scale
Free tiers do not ramp, they cliff. Your cost stays at zero until you cross a quota, then jumps to full list price on the very next request.
That discontinuity is what bites. A metered account with credits gives a gradual signal as the balance drains. A free tier gives no signal at all, then a 429 in production, or a sudden bill the day you add a card to stop them.
So the card-free layer works well for two workload shapes and badly for a third:
- Development and evaluation. Excellent. Unlimited model comparison at zero cost is worth more than the dollar value suggests.
- Batch and background jobs. Good. Queued work absorbs rate limits without a user noticing.
- Interactive production traffic. Poor alone. The moment a real user waits on a rate-limited free tier, you need a paid fallback.
The mature setup is a router sending cheap deterministic work to the free tier and everything user-facing to a credited frontier account. That is where card-free access stops being a trial and becomes an architecture.
Are No-Credit-Card AI Credits Worth Claiming?
Yes, but for what they teach you rather than what they save you. The card-free layer is an evaluation budget, and its value is the decisions it lets you make cheaply, not the dollars it keeps off the bill.
Three things separate these options, and they matter more than the headline number on each:
Permanence. Some card-free access is a recurring quota that resets on its own, and some is a one-off balance that drains. The recurring kind keeps working long after the trial balances are gone.
Model class. A large open-model balance and a small frontier trial buy different things. The first buys volume for benchmarking. The second buys roughly one honest comparison on your own prompts.
Ceiling. The card-free layer tops out in the low hundreds of dollars. The structured startup credit programs above it reach six figures and are a different kind of thing entirely, assessed rather than self-serve.
Which providers sit where, and what each is worth this month, is tracked at getaiperks.com.
What Card-Free Credits Stack With
Card-free access covers one layer of an AI product's bill, the cheap inference layer, and holding only that layer leaves you paying for everything else.
The layers worth funding separately:
- Cheap model layer. Free tiers from open-model providers. Handles routing, classification, extraction and drafting.
- Frontier model layer. Anthropic, OpenAI, Google, xAI. Credit programs here run from hundreds to six figures and cover the calls users actually judge you on.
- Compute layer. Where your code and any self-hosted models run. Separate bill, separate programs, frequently larger than the model bill.
- Product layer. Database, auth, email, analytics, monitoring. Individually small, collectively often bigger than the AI spend in year one.
Nearly every program in the upper layers is compatible with a card-free tier, because a free tier is not a commercial relationship anyone is trying to protect. The conflicts live between the large programs, and getting that combination wrong can cost you one of them. AI Perks maps which stack together.
What Founders Get Wrong About No-Credit-Card AI Credits
The most expensive mistake is treating card-free inference as a cost structure rather than an evaluation budget, then building a free product on a quota that can be revised at any time.
Building on a quota you do not control. A free tier is a marketing decision by the provider, not a contract with you. Gemini Pro's removal in April 2026 is the reference case, and anything load bearing needs a fallback with a card behind it.
Benchmarking on one model and shipping another. Teams validate quality on a free open model, route production to a frontier model for safety, and never revisit whether they needed to. That is often the largest line item in the bill, sitting unexamined.
Waiting until the 429 to add billing. The move from free tier to paid should happen on a quiet Tuesday, not during your launch. Configure the paid path early even if the balance stays untouched.
Skipping the structured programs because the free tier is comfortable. Free tiers are worth hundreds of dollars a month. The programs above them are worth thousands to six figures, and founders leave that untouched because the free tier removed the urgency.
Frequently Asked Questions
Can I get free AI credits with no credit card in 2026?
Yes. Replicate grants $500 to new accounts with no card required, Cerebras and Groq run permanent free inference tiers, and OpenAI, Anthropic, Together AI and Mistral issue small trial balances before asking for payment details. Policies change frequently, so the current position for each is tracked at getaiperks.com.
What is the largest no-credit-card AI credit available?
Among instant self-serve options, Replicate's $500 for new accounts is the largest dollar-denominated one, and Cerebras's 1,000,000 tokens per day is the largest ongoing quota. The far bigger awards, which run into six figures, come from structured startup credit programs, which are assessed rather than handed out by a signup form.
Do free AI API tiers expire?
The permanent free tiers reset on a rolling daily or monthly quota rather than expiring, which is what makes them worth claiming early. Dollar-denominated trial credits usually do carry a clock. Terms differ by provider and change without notice, so check the current position at getaiperks.com.
Is a free AI tier good enough to launch a product on?
For background jobs, classification and drafting, often yes. For interactive traffic a user waits on, no, because a rate limit becomes an outage with no support path. The realistic pattern is a router: free tiers handle cheap deterministic work, a credited frontier account handles anything customers judge.
Why do most AI providers ask for a credit card?
Because a card deters abuse and converts trials into paid accounts automatically. Providers that skip it are making a deliberate acquisition bet on developers evaluating models, which is why the card-free options cluster among open-model inference platforms competing for exactly that traffic.
What should I claim after the no-credit-card credits run out?
The structured startup credit programs, which is where the real money sits. Model, compute and product layer grants combine into meaningful runway, though compatibility between specific programs varies and stacking the wrong pair can cost you one. AI Perks tracks $7.7M in credits across 194 companies at getaiperks.com.
No card, no bill, no excuse not to test everything.