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Llama 3.2 3B: free via FreeLLMAPI

Llama 3.2 3B: served free by 3 providers, up to 131K context, tool calling. Provider limits, quotas and setup examples on FreeLLMAPI.

Cloudflare Workers AI

@cf/meta/llama-3.2-3b-instruct
Context window131K tokens
Free budget~10-20M tokens/mo
Rate limitsnot published
Key is account_id:token info
Cloudflare Workers AI authenticates with a combined credential in the form "account_id:token", not a bare token.

AI Horde

koboldcpp/Llama-3.2-3B
Context window4K tokens
Free budgetKudos queue (no token cap) tokens/mo
Rate limitsnot published
Free volunteer queue, slow warning
AI Horde routes to volunteer-run workers through a priority queue, so latency is seconds to minutes, not the sub-second of hosted providers. The anonymous key 0000000000 runs at the lowest priority; register a free key at aihorde.net for higher priority. The provider uses a 120s timeout.
No tool calling info
AI Horde's OpenAI-compatible proxy does not support function/tool calling. The provider drops tools, tool_choice and parallel_tool_calls so a tool-using request still completes as plain chat instead of failing.
Usage is kudos; tokens estimated info
The proxy returns usage as {"kudos": N} with no token counts, and rejects max_tokens below 16 and a non-array stop. The AIHordeProvider normalizes the request (floors max_tokens, wraps stop) and synthesizes prompt/completion token estimates so analytics and savings math aren't zero.
Roster + context depend on online workers info
Model availability changes as volunteer workers come and go, so a listed model can be temporarily unserved. The effective context window is set by the worker (often 4-8K), not the model's native maximum.
Uneven quality warning
Output quality varies by worker and quantization, and some workers append template or instruction text after the answer. Best treated as free fallback capacity, not a primary model.

ElectronHub

llama-3.2-3b
Context window128K tokens
Free budget$0.25/week shared recurring credit tokens/mo
Rate limitsnot published
Shared weekly free credits info
ElectronHub Free renews $0.25 each week (Sunday 21:00 UTC), shared across eligible non-premium models; unused weekly credit does not roll over. These are credit-backed routes, not the separate daily :free aliases. Paid top-ups are optional and not included in this allowance. Text inference was tested; other capability flags come from the provider roster.
The :free aliases need phone verification info
ElectronHub's zero-credit ":free" aliases answered 403 "To prevent abuse and high traffic on free models, phone verification is required" on September 18, 2026. The ordinary ids this catalog carries are NOT affected and were re-tested working the same day, so the :free aliases are simply not worth adding. ElectronHub's recurring grant is $0.25 credited every Sunday at 21:00 UTC plus a separate daily Neutrino allowance.

Get this model the moment it changes

Limits move, models get replaced, better ones launch. Premium routers see this page's data live. Free routers see last month's.

زنده کنید · $19/yr →

Use it

FreeLLMAPI is a self-hosted router you run yourself. Install it, paste in your free Cloudflare Workers AI key, and @cf/meta/llama-3.2-3b-instruct answers on an OpenAI-compatible endpoint at http://localhost:3001/v1. No credit card, no hosted middleman: your prompts and your provider keys never leave your machine.

Install the router (macOS, Linux, WSL)
curl -fsSL https://freellmapi.co/install.sh | bash
Install the router (Windows PowerShell)
iwr -useb https://freellmapi.co/install.ps1 | iex
Call @cf/meta/llama-3.2-3b-instruct with curl
curl http://localhost:3001/v1/chat/completions \
  -H "Authorization: Bearer freellmapi-your-unified-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "@cf/meta/llama-3.2-3b-instruct",
    "messages": [{"role": "user", "content": "Say hi in five words."}]
  }'
The same request in Python (openai)
from openai import OpenAI

client = OpenAI(
    base_url="http://localhost:3001/v1",
    api_key="freellmapi-your-unified-key",
)

resp = client.chat.completions.create(
    model="@cf/meta/llama-3.2-3b-instruct",
    messages=[{"role": "user", "content": "Say hi in five words."}],
)
print(resp.choices[0].message.content)

The router answers on /v1/chat/completions and every other OpenAI surface, plus the Anthropic Messages API, so existing clients need only a new base_url. Swap the model id for auto and the router picks the best free model that is still under its limits. Full reference: docs/api.md.