Free LLM API options in 2026: what is actually free
Updated 2026-07-15
There are real ways to call an LLM API for free: provider free tiers, OpenRouter free model variants, the crowdsourced AI Horde, and running models on your own hardware. Every one of them has a catch, usually rate limits, queues, or data terms, and this guide lays each catch out plainly.
Quick answer: four ways to use an LLM API for free
If you want one recommendation: prototype on Google AI Studio or OpenRouter free variants, run private or high-volume workloads locally if you own a capable GPU, and switch to cheap pay-as-you-go the moment daily caps start cutting off real sessions. The rest of this guide covers the documented limits of each option, the catch attached to each, and the arithmetic for when a few dollars of paid credit is simply less hassle than free.
- Provider free tiers: Google AI Studio (Gemini), Groq, Mistral, and GitHub Models hand out free API keys with low request caps. Best for prototyping.
- OpenRouter free models: model variants tagged :free, with per-minute and per-day request limits on one key. Best for sampling many models quickly.
- AI Horde: a crowdsourced cluster of volunteer GPUs. Genuinely free with no hard quota, but you wait in a queue for every generation.
- Local models: Ollama or llama.cpp on your own machine. Zero per-token cost, bounded only by your hardware.
The truth about "free AI API no limit"
A free AI API with no limits does not exist, and it helps to understand why before you spend an evening hunting for one. Inference runs on GPUs that cost real money per hour. Anyone serving you tokens for free is recovering that cost somewhere, and there are only four honest mechanisms: rate limits that keep you small, queues that make you wait, terms that let the provider learn from your prompts, or your own electricity bill because the hardware is yours. Anything outside those four mechanisms should make you suspicious. "Unlimited free key" lists on GitHub and Discord are usually scraped or stolen keys that die within days, or reverse-engineered endpoints that violate someone's terms of service and can log everything you send. Do not put personal data, or your users' data, through them. So the practical question is never "where is the unlimited free API" but "which limit am I most willing to live with: caps, queues, data terms, or hardware".
Free tier limits compared
The table below summarizes what each free option gives you and what it costs you in practice. Quotas change often, so treat the numbers as documented or community-reported approximations at the time of writing and verify against each provider's current docs before you build on them.
| Option | What you get | Limits (approx., at time of writing) | The catch |
|---|---|---|---|
| Google AI Studio (Gemini) | Free API key for current Gemini models | Low per-minute request caps plus daily quotas, varies by model | Free-tier prompts may be used to improve Google products; quotas are prototype-sized |
| OpenRouter :free models | Rotating set of free model variants under one key | Around 20 requests/min and around 50 requests/day; roughly 1,000/day after a one-time credit purchase, per current docs | The daily cap lands mid-conversation; free variants appear and disappear without notice |
| Groq free tier | Very fast inference on open-weight models | Per-minute and per-day token caps, varies by model | Open-weight catalog only; caps are tight for sustained use |
| Mistral free tier | Experiment plan on La Plateforme | Rate limits on every endpoint | Free plan terms include data sharing; not intended for production traffic |
| GitHub Models | Playground plus API access to many hosted models | Small request and token quotas tied to your GitHub plan | Built for evaluation; ceilings are deliberately low |
| AI Horde | Crowdsourced volunteer GPU cluster | No fixed quota; priority is ordered by kudos earned in the community | Queue times swing from seconds to many minutes; model list depends on volunteers |
| Local (Ollama, llama.cpp) | Unlimited tokens on your own hardware | Bounded by your VRAM and inference speed | Larger models need a serious GPU; you maintain the whole stack yourself |
OpenRouter free models: how the :free variants work
OpenRouter lists certain models with a :free suffix. Requests to those variants cost nothing, and the endpoint is OpenAI-compatible, so any client that accepts a custom base URL can use them. The account-wide limits are the real constraint: roughly 20 requests per minute and a daily request cap in the low double digits on a fresh account, raised to around 1,000 requests per day once you have made a small one-time credit purchase, per OpenRouter's published docs. Two things to know before you rely on it. First, the set of :free models rotates: a model that is free this month may be paid or gone next month, so hardcoding one ID is fragile. Second, free-variant traffic may be routed to providers with prompt-logging terms, which OpenRouter discloses per provider. Neither is a scandal, both are the price of free.
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek/deepseek-chat:free",
"messages": [{"role": "user", "content": "Hello"}]
}'
# Pick any ID ending in :free from their model list; the set rotates.AI Horde: genuinely free, community-run, queue included
AI Horde is the one option on this list with no billing anywhere in the system. Volunteers attach their GPUs to a shared cluster, and anyone can submit text or image generation jobs against it, even anonymously. Instead of rate limits it uses kudos: a priority currency you earn by contributing compute or participating in the community. Anonymous jobs sit at the back of the queue; active contributors get served first. The trade-offs follow directly from the design. Wait times are unpredictable, from a few seconds on a quiet day to many minutes at peak. The available model list is whatever volunteers happen to be hosting, mostly open-weight community models rather than frontier commercial ones. And throughput is nowhere near what an API business provides, so it suits hobby projects, experimentation, and patience, not latency-sensitive apps. If your use case is casual and asynchronous, AI Horde is the most honest "actually free" answer that exists. If you need a response in two seconds every time, it is not.
Running models locally: free after the hardware
Local inference is the only path to unlimited tokens with no terms attached. Ollama is the easiest entry point: it downloads quantized open-weight models and exposes an OpenAI-compatible server on localhost, so the same client code you would write for any hosted API works unchanged. The catch is hardware. Small models in the 7B to 12B range run acceptably on a modern laptop or a consumer GPU with 8 to 16 GB of VRAM. The larger open-weight models that get closest to commercial quality want far more memory than most people own, and prompt processing on long contexts is slow on consumer cards. Budget for electricity and for the time you will spend on setup and updates.
from openai import OpenAI
client = OpenAI(
base_url="http://localhost:11434/v1",
api_key="ollama", # required by the SDK, ignored by Ollama
)
response = client.chat.completions.create(
model="llama3.1:8b",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)When $3 of pay-as-you-go beats free
Free stops being free when it costs you time. The moment a daily cap cuts off a working session, or the :free variant you built on disappears, or the queue makes your app feel broken, small amounts of paid credit become the cheaper option. Token prices on efficient models are now low enough that a single coffee funds weeks of heavy chat use. APIsRouter is one gateway built around exactly that trade: an OpenAI-compatible API at https://api.apisrouter.com/v1, pay-as-you-go with no subscription, and a no-signup checkout at /topup where you pay first and the key arrives by email. Your first top-up adds +100% balance, global models run 20% off official pricing, and Chinese models are priced below official rates. The table shows what $3 of credit buys at catalog prices.
| Model | Catalog price (per 1M tokens, in/out) | Approx. chats per $3* |
|---|---|---|
| deepseek-v4-flash | $0.126 / $0.252 | ~5,100 |
| deepseek-v4-pro | $0.3915 / $0.783 | ~1,600 |
| glm-5 | $0.514 / $2.314 | ~1,000 |
| gemini-3.5-flash | $1.20 / $7.20 | ~430 |
| grok-4.5 | $1.60 / $4.80 | ~380 |
| claude-sonnet-4-6 | $2.40 / $12.00 | ~220 |
curl https://api.apisrouter.com/v1/chat/completions \
-H "Authorization: Bearer sk-APIsRouter-..." \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4-flash",
"messages": [{"role": "user", "content": "Hello"}]
}'FAQ
Is there a completely free LLM API with no limits?
No. Every free option limits you through rate caps, queues, data terms, or your own hardware. AI Horde comes closest to unlimited because it has no quota, but you wait in a community queue. Local models are unlimited in tokens but limited by your GPU.
How do I get a free LLM API key?
The fastest routes are Google AI Studio, which issues a free Gemini key in about a minute, and OpenRouter, where an account lets you call any model variant tagged :free. GitHub Models gives free access through a GitHub account. All three are rate-limited and meant for prototyping.
Is the OpenAI API free to use?
No. ChatGPT has a free web tier, but that is a consumer product, not API access. The OpenAI API bills per token from the first request, so developers who want free experimentation typically start with Gemini free tier, OpenRouter free variants, or a local model instead.
Is the Google Gemini API free?
Gemini has a real free tier through Google AI Studio with per-minute and per-day quotas that vary by model. On the free tier, Google’s terms allow prompts to be used to improve their products, so check the current data terms before sending anything sensitive.
Can I use a free LLM API for JanitorAI or SillyTavern?
Technically yes where the provider exposes an OpenAI-compatible endpoint, but daily request caps end long chat sessions abruptly, which is exactly when it hurts. Check each provider’s content policy and the platform’s terms first, and keep usage age-appropriate. For steady sessions, low-cost pay-as-you-go models are the usual upgrade path.
Are free API keys shared on GitHub or Discord safe?
No. Shared key lists are usually stolen or scraped credentials that get revoked quickly, and unofficial "free proxy" endpoints can log every prompt you send. Using them can also get downstream accounts banned. Stick to official free tiers, AI Horde, or local models.