per 1M tokens
LiquidAI: LFM2.5-24B-A2B
liquid/lfm-2.5-24b-a2b
LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid...
Price
per 1M tokens
Providers
Each row is one seller. Prices are the published rate from that source. A dash means that source did not publish the amount. Sorted by a 3:1 blend of input and output.
| Provider | Tag | Quant | Input | Output | Context | Uptime | Status | Source |
|---|---|---|---|---|---|---|---|---|
| Liquid | liquid/fp8 | fp8 | $0.05/1M | $0.7/1M | 128K | 100% | Live | openrouter-endpoints |
Monthly bill
Token models use the token counts. Image, video, and audio models use units times the flat rate.
$0.75 at list price for this workload
Cache
per 1M tokens
Every rate
| Unit | Input | Output | Flat | Confidence |
|---|---|---|---|---|
| token | $0.05/1M | $0.7/1M | Not published— | official |
Price history
input or flat output
Daily snapshots
| UTC date | Unit | Input | Output | Flat |
|---|---|---|---|---|
| 2026-10-13 | token | $0.1 | $1 | Not published— |
| 2026-10-14 | token | $0.05 | $0.7 | Not published— |
| 2026-10-15 | token | $0.05 | $0.7 | Not published— |
| 2026-10-16 | token | $0.05 | $0.7 | Not published— |
| 2026-10-17 | token | $0.05 | $0.7 | Not published— |
| 2026-10-18 | token | $0.05 | $0.7 | Not published— |
| 2026-10-19 | token | $0.05 | $0.7 | Not published— |
| 2026-10-20 | token | $0.05 | $0.7 | Not published— |
| 2026-10-21 | token | $0.05 | $0.7 | Not published— |
| 2026-10-22 | token | $0.05 | $0.7 | Not published— |
| 2026-10-23 | token | $0.05 | $0.7 | Not published— |
| 2026-10-24 | token | $0.05 | $0.7 | Not published— |
| 2026-10-25 | token | $0.05 | $0.7 | Not published— |
| 2026-10-26 | token | $0.05 | $0.7 | Not published— |
| 2026-10-27 | token | $0.05 | $0.7 | Not published— |
| 2026-10-28 | token | $0.05 | $0.7 | Not published— |
| 2026-10-29 | token | $0.05 | $0.7 | Not published— |
| 2026-10-30 | token | $0.05 | $0.7 | Not published— |
Alternatives
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Parameters (18)
frequency_penaltyinclude_reasoninglogprobsmax_completion_tokensmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobs
Call this model
OpenRouter id liquid/lfm-2.5-24b-a2b. InferenceList does not send the request.
curl
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"liquid/lfm-2.5-24b-a2b","messages":[{"role":"user","content":"Hello"}]}'
JavaScript
await fetch("https://openrouter.ai/api/v1/chat/completions", {
method: "POST",
headers: {
Authorization: "Bearer " + process.env.OPENROUTER_API_KEY,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "liquid/lfm-2.5-24b-a2b",
messages: [{ role: "user", content: "Hello" }],
}),
});
Python
import os, json, urllib.request
req = urllib.request.Request(
"https://openrouter.ai/api/v1/chat/completions",
data=json.dumps({"model": "liquid/lfm-2.5-24b-a2b", "messages": [{"role": "user", "content": "Hello"}]}).encode(),
headers={"Authorization": "Bearer " + os.environ["OPENROUTER_API_KEY"], "Content-Type": "application/json"},
)
print(urllib.request.urlopen(req).read().decode())