Free LLM APIs in 2026: What's Actually Free and What Has Limits

Several major LLM providers offer free API access — but "free" means different things across providers. Some have generous rate limits for development, others give one-time credits that expire, and some are free only for non-commercial use. Here's what each actually offers in 2026.

Free LLM APIs compared

Google AI Studio: the best free LLM API

Google AI Studio gives you an API key with no billing setup and ongoing free access to Gemini models. Gemini 2.5 Flash at 15 RPM and 1M TPM is genuinely useful for development and low-traffic production:

from openai import OpenAI

client = OpenAI(
    base_url="https://generativelanguage.googleapis.com/v1beta/openai/",
    api_key="YOUR_AI_STUDIO_KEY"
)

response = client.chat.completions.create(
    model="gemini-2.5-flash",
    messages=[{"role": "user", "content": "Hello"}]
)

The main limitation: on the free tier, Google may use your prompts to improve their models. If you're handling sensitive data, use the paid tier or a different provider.

Groq: fastest free inference

Groq's free tier gives you access to Llama 3.3-70B at 250+ tokens/second — the fastest inference available anywhere. Rate limits are tight (30 RPM) but sufficient for development and light production use.

Making the most of free credits

• Use cheaper models — your $5 OpenAI credit goes 30x further on gpt-4o-mini than gpt-4o
• Cache aggressively — semantic caching means your free quota serves more users
• Track usage from day one — free credits disappear faster than you expect without visibility
• Use Google AI Studio for development — save paid credits for production

Fully open alternatives (self-hosted)

If you need truly unlimited free inference, run models locally:

• Ollama — pull and run any open-source model, zero cost per token
• llama.cpp — CPU inference, works without a GPU
• Best local LLM guide — which model to run at each hardware tier

The cost is hardware and electricity, not API tokens.