FreeLLMAPI
Home / মডেল

lfm-2.5-2.6b: free via FreeLLMAPI

lfm-2.5-2.6b: served free by 1 provider, up to 33K context. Provider limits, quotas and setup examples on FreeLLMAPI.

Waterfall

lfm-2.5-2.6b-free
Context window33K tokens
Free budgetfree · community rate limit tokens/mo
Rate limitsnot published
Free routes depend on upstream availability info
Waterfall serves -free routes at no charge with no card under unpublished community rate limits. The ten listed routes returned matching model IDs on September 15. Twelve other -free routes (gemma-4 variants, nemotron-3-ultra, content-safety, laguna-xs, north-mini-code, dots-3, glm-5.2, ling-fin) returned 503 upstream_unavailable on two attempts and are not listed; inkling routes are forbidden and Lyria routes require payment.

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.

লাইভ করুন · $19/yr →

Use it

FreeLLMAPI is a self-hosted router you run yourself. Install it, paste in your free Waterfall key, and lfm-2.5-2.6b-free 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 lfm-2.5-2.6b-free with curl
curl http://localhost:3001/v1/chat/completions \
  -H "Authorization: Bearer freellmapi-your-unified-key" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "lfm-2.5-2.6b-free",
    "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="lfm-2.5-2.6b-free",
    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.