LFM2.5-2.6B
by liquid · family lfm
Facts
| Release date | 2026-08-11 |
|---|---|
| Retired date | — |
| Knowledge cutoff | — |
| Context (max) | 65,536 |
| Max output | — |
| Modalities | text → text |
| Aliases | lfm-2.5-2.6b |
| Open weights | yes (LiquidAI/LFM2.5-2.6B) |
| Description | Liquid AI's compact 2.6B edge model that always reasons (thinking cannot be disabled); 64K context. Served free on OpenRouter; open weights (GGUF variants also published). |
Unknown values are shown as —.
Offerings
| Provider | Wire ID | Variant | Endpoint | Protocol | Status | Price (USD / Mtok) | Reasoning |
|---|---|---|---|---|---|---|---|
| OpenRouter | liquid/lfm-2.5-2.6b:free | chat-completions | openai-chat | ga | 0.00 / 0.00 | effort · default on · mandatory · returns reasoning_content |
Reasoning controls
OpenRouter· liquid/lfm-2.5-2.6b:free· chat-completions effort
reasoning.effort lowmediumhigh●
effort · default on · mandatory · returns reasoning_content
Example requests
OpenRouter · openai-chat · liquid/lfm-2.5-2.6b:free
curl 'https://openrouter.ai/api/v1/chat/completions' \
-H 'Authorization: Bearer <YOUR_API_KEY>' \
-H 'Content-Type: application/json' \
-d '{
"model": "liquid/lfm-2.5-2.6b:free",
"messages": [
{
"role": "user",
"content": "Tell me about the weather."
}
],
"reasoning": {
"effort": "high"
}
}'Python (requests)
import requests
resp = requests.post(
"https://openrouter.ai/api/v1/chat/completions",
headers={
"Authorization": "Bearer <YOUR_API_KEY>",
"Content-Type": "application/json"
},
json={
"model": "liquid/lfm-2.5-2.6b:free",
"messages": [
{
"role": "user",
"content": "Tell me about the weather."
}
],
"reasoning": {
"effort": "high"
}
},
)
print(resp.json())TypeScript (fetch)
const resp = await fetch("https://openrouter.ai/api/v1/chat/completions", {
method: "POST",
headers: {
"Authorization": "Bearer <YOUR_API_KEY>",
"Content-Type": "application/json"
},
body: JSON.stringify({
"model": "liquid/lfm-2.5-2.6b:free",
"messages": [
{
"role": "user",
"content": "Tell me about the weather."
}
],
"reasoning": {
"effort": "high"
}
}),
})
console.log(await resp.json())