Which Free LLM API Providers Give the Best Free Tier for Developers?
If you want to build against an LLM without paying, start with Google AI Studio for the highest daily request ceiling, Groq for speed, Cerebras for the largest daily token budget, and OpenRouter for model variety through one endpoint. All four are listed as free-tier providers with no credit card required. The right pick depends on whether your bottleneck is requests per day, tokens per day, latency, or how many different models you need to test.
Free LLM API providers compared
The directory lists these providers under its LLM APIs category (20 tools total). The figures below come from the featured tool cards:
| Provider | Free-tier limit | Rate limit | Context | Notable strength |
|---|---|---|---|---|
| OpenRouter | 29 free models via one API; 50 requests/day (1,000/day with $10+ credits) | 20 RPM | Not listed | Model variety, unified endpoint |
| Groq | 1,000–14,400 requests/day depending on model | Not listed | Not listed | Ultra-fast inference |
| Google AI Studio | 250 RPD (Tier 1) for most models; 1,500 RPD for Gemini 3 Flash | Not listed | Not listed | Highest daily request count |
| Cerebras | 1.5M tokens/day | 30 req/min | 8,192 tokens | Largest daily token budget, ~2,400 tok/sec |
| OpenCode Zen | Zen Free tier with 8 exclusive models (incl. Big Pickle) | Not listed | Not listed | Exclusive models not on other providers |
All five are marked "No credit card required."
How to choose by your actual constraint
If you need the most requests per day
Google AI Studio: 250 requests/day on Tier 1 for most models, and 1,500/day for Gemini 3 Flash. Groq's ceiling is higher in raw numbers (up to 14,400/day) but varies by model, so check the specific model you plan to use.
If you need the most tokens per day
Cerebras at 1.5M tokens/day. This matters when your prompts and outputs are long — for example, summarizing documents or generating multi-paragraph code. Note its 8,192-token context cap, which limits how much you can send in a single call.
If latency is the priority
Groq ("ultra-fast inference") and Cerebras (~2,400 tok/sec) are the two speed-oriented options. For interactive apps — chat, autocomplete, agents that make many sequential calls — this is often the deciding factor.
If you want to test many models without multiple integrations
OpenRouter gives you 29 free models behind one API, at 20 RPM and 50 requests/day. That daily cap is the tightest of the group, but adding $10+ in credits raises it to 1,000/day. Use it when you're comparing model outputs rather than running production volume.
If you want models you can't get elsewhere
OpenCode Zen offers 8 exclusive free models, including one called Big Pickle. Worth checking if you've already hit limits or want to avoid the same models everyone else is rate-limited on.
What to verify before committing
Free tiers change, and the numbers above are point-in-time from the directory. Before you build a dependency on one provider, confirm:
- The specific model's limit, not just the provider's headline number. Groq's range (1,000–14,400/day) shows limits are per-model.
- Whether your usage pattern fits the rate limit. Cerebras' 30 req/min and OpenRouter's 20 RPM will throttle agent loops that fire many calls in bursts, even if your daily total is fine.
- Context window against your input size. Cerebras' 8,192-token context is the only one listed here; if you're feeding long documents, verify the others before assuming they're larger.
- What credits unlock. OpenRouter's jump from 50 to 1,000 requests/day at $10+ credits is documented; check whether other providers have similar thresholds.
- Terms for your use case. Free tiers often differ for commercial vs. personal projects — the directory doesn't state this, so read each provider's terms.
A practical starting setup
For most developers building a first app, a two-provider approach covers the common failure modes:
- Primary: Google AI Studio — highest daily request count, good for steady development and testing.
- Fallback: Groq or Cerebras — swap in when you hit the primary's daily cap or need lower latency.
If you're still choosing models rather than building, start with OpenRouter to compare 29 models through one integration, then move to a single provider once you know which model you want.
The directory also lists 12 AI IDEs, 15 CLI tools, 8 local model options, 12 RAG stack tools, and 10 agent frameworks — useful if the API is only one piece of your stack. Local models are worth considering if you need unlimited offline use and can accept the hardware tradeoff.