AI Desk · AI FingerprintingNew arrival
Why moderate: an exact fingerprint match with one sibling only, and no second signal of a different kind yet.
LiquidAI: LFM2.5-24B-A2B is Liquid AI's model, and its measured tokenizer sits in Liquid AI's own signature group alongside its sibling models. No other maker's measured model shares it so far.
| We checked | What we found | Where it came from |
|---|---|---|
| How it counts tokens | Counts every one of the 50 test strings exactly like 1 other model | tk_2c236574 |
| How its API is set up | A combination of settings no other listing in the catalogue uses | api_8475cc65 |
| How much it can read and write | Reads up to 128,000 tokens at once, writes up to 8,192 | its own listing |
| Whether it thinks before answering | Always reasons, and cannot be turned off | its own listing |
| Who served our requests | Liquid | we measured it, 17 October 2026 |
Click a row to open the full comparison.
We sent LiquidAI: LFM2.5-24B-A2B fifty short pieces of text and recorded what each one cost it in tokens. The bars below are those costs. Two models built on the same tokenizer produce the same bars; a model built on a different one produces a different set, which is what makes this a fingerprint.
Overhead subtracted: 10 prompt tokens.
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...
Supported parameters
frequency_penaltyinclude_reasoninglogprobsmax_completion_tokensmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobs
