AI and automation

Free AI for coding: which services actually work in 2026

Several glowing tokens of different colors lined up next to a laptop

It’s easy to find dozens of articles online about “free credits” for AI coding services: they promise millions of free tokens, $25 without a card, or hundreds of thousands of requests a day. It looks tempting — you could offload some of the routine work to a neural network and not pay a cent. The temptation is understandable: why not speed up the rough draft phase of development for free, especially when the service itself advertises it?

We decided not to take these articles at face value and tested nine such services live — not just by reading the website descriptions, but by making direct requests with a real API key. The results deviated from the advertising promises more than expected: some of the “verified” free tiers turned out to be dummies within the very first minute of use. Below is what actually works, what doesn’t, and which model is best suited for which task, with specific examples.

Why you shouldn’t take articles about “free credits” at face value

The first thing that caught our eye: even precise, confident-sounding figures (“200,000 tokens a day,” “$25 without a card,” “5 million tokens upon registration”) in ranking articles regularly turn out to be outdated or copied from other sources without verification. GitHub Models — a service still mentioned as a free option in recent articles — was completely shut down on July 30, 2026, for all users without exception. On August 17, 2026, Cerebras removed its no-card free tier — now, without a linked payment method, their API simply doesn’t respond.

Worse yet: three services that articles still call “verified free” turned out to be empty during a direct test on August 29, 2026. At DeepSeek (platform.deepseek.com), the account balance was literally $0.00 despite the promised 5 million tokens upon registration. At xAI (console.x.ai), the key issued via the “free” button had absolutely no credits — access only opens with a payment of $5 or more. And SambaNova Cloud processed one test request and immediately stopped responding for all models with an insufficient funds error, even though it promised around 200,000 tokens a day. None of these three cases were obvious in advance — the registration pages for all three looked equally convincing.

  • GitHub Models — completely shut down since July 30, 2026, but still listed as “free” in recent articles
  • Cerebras — requires a card even for the starting credit as of August 17, 2026
  • DeepSeek — the promised 5 million free tokens were not credited, account balance is $0
  • xAI (Grok) — the issued “free” key has zero credits, access only with a $5+ payment
  • SambaNova Cloud — the actual free balance ran out after 2-3 test requests, not after the claimed 200,000 tokens a day
An empty open gift box on an office desk

Which services passed the test and continue to work

After direct testing with real requests (rather than just reading the documentation), six services remained as working free sources for code drafts. Each has its own profile of strengths and weaknesses, and none is a universal solution for every case.

A common detail for all six: the free tier is always limited by time, volume, or a specific model, not unlimited access. Before building a workflow around a service, it’s worth checking its current terms — they change faster than review articles can be updated.

  • Mistral, Codestral model (console.mistral.ai) — the widest free catalog of models, including code-specific ones
  • Google Gemini (aistudio.google.com) — large context window, doesn’t add extra formatting to the code beyond what was requested
  • Groq (console.groq.com) — the fastest response, but a strict limit on request volume per minute
  • OpenRouter (openrouter.ai) — access to a bunch of different models with one key, though some free models periodically drop offline
  • Cerebras (cloud.cerebras.ai) — the no-card free tier was closed on August 17, 2026; now offers a one-time trial credit for a month with a card
  • Z.ai, GLM model (z.ai/model-api) — specifically the junior model in the lineup is free, while flagship versions require a paid subscription
Six glowing tokens of different colors lined up on a desk, three bright and three dim

Which model is good for what — with real-world examples

To compare actual behavior rather than advertising promises, we sent all the models the exact same instructions and saw who followed them to the letter. The first test was a direct prohibition on adding any formatting beyond the code itself. The second test was a request to answer with exactly one word, no explanations.

The result was telling: only Google Gemini followed the ban on extra formatting to the letter — the rest of the models, including larger and more heavily promoted ones, still added decorative formatting that you then have to remove manually before using the code. In the second test, some models that “think out loud” before answering couldn’t fit into a short response unless explicitly given enough room for that reasoning — this isn’t a bug, but a feature of that specific architecture, and it needs to be accounted for during setup rather than treated as a flaw.

  • Gemini — when you need the output ready to use without manual reformatting
  • Groq — when response speed matters more than fancy formatting
  • Mistral — when you need the widest selection of free models for various types of tasks
  • Regardless of the brand or model size — none of them eliminate the need for human review before using the output
Monitor showing two code snippets — one in a decorative frame, the other without

What if it's GPU power you're short on, not text

A separate category offers free access not to a ready-made model, but to the GPU itself, so you can run heavy models on your own. There are genuinely free options here too, no credit card required: cloud notebook services provide guaranteed GPU hours every week, while a specialized platform for demo projects gives you a few minutes a day on a top-tier accelerator.

Important caveat: this is an environment for notebooks and experiments, not a permanently running endpoint you can ping from your workflow at any time. For a one-off experiment with a heavy model — a great free option. To replace the always-available services listed above — no: sessions are time-limited and there's no guarantee a GPU will be available when you need it.

Hourglass next to a glowing GPU icon on a desk

Compare models on your own prompt

Send the same request to 4 free services at once — Mistral, Gemini, Groq and Z.ai (GLM) — and compare the answers and speed live.

Protected by Cloudflare Turnstile — no more than 3 requests per hour from one address, each one goes to all 4 services at once.

A neat desk with a few selected glowing tokens among dimmed ones

Frequently asked questions

Can you use free AI services in a real work project?

As a source for drafts — yes, that's exactly what they're meant for. As your sole reliance in production — no: free tiers have daily and per-minute limits, and terms can change without warning. In fact, one of the six working services in this article lost its free, no-card-required access within a week of us starting to use it.

Is it safe to send business data using a free API key from a third-party service?

Not all data is safe to send. A free tier often means your prompts may be used to train the model — this is stated in the terms of service for each platform and is worth checking before routing real customer data through it, rather than just test examples.

Is it worth running an AI model locally on your computer instead of using free cloud services?

Only if your computer has a dedicated GPU with enough VRAM. On a standard office laptop with integrated graphics, a local model will be noticeably slower and lower in quality than any free cloud option — so the savings just aren't worth it.

Read also

August 10, 2026AI and automation

What Is Vibe Coding in Simple Terms

Vibe coding in plain English: how AI writes code from plain-text prompts, how it differs from custom development, and when you still need a human developer.

Read →