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// liquid

LFM2.5-24B-A2B

liquid/lfm-2.5-24b-a2b

newreasoningtool callingprompt caching
OpenRouter + LiveBenchAll modelsFull leaderboard

LFM2.5-24B-A2B costs $0.050 per 1M input tokens and $0.700 per 1M output tokens with a 128K-token context window.

A reasoning, tool-calling model from liquid, released Oct 13, 2026. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.

Input / 1M
$0.050
Output / 1M
$0.700
Context
128K
LiveBench overall
Not evaluated

Specs and pricing

Input price

USD per 1M prompt tokens

$0.050
Output price

USD per 1M completion tokens, reasoning included

$0.700
Blended price

3:1 input:output — #85 cheapest of 348 listed models

$0.212
Cached input read

Blank means not priced separately — not free

$0.025
Cache write—
Context window128,000 tokens
Max output8,192 tokens
Input modalitiestext
Tool callingYes
Extended reasoningYes
Knowledge cutoff—
ListedOct 13, 2026

What LFM2.5-24B-A2B costs to run

Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.

WorkloadPer month
Support chatbot

1.2K in / 400 out × 200K requests

$66.20/mo
RAG assistant

8K in / 600 out × 100K requests

$72.00/mo
Coding agent

40K in / 4K out × 20K requests

$82.00/mo
Document extraction

20K in / 1.5K out × 50K requests

$101.25/mo
Bulk classification

500 in / 20 out × 5M requests

$182.50/mo
Price your own workload

Compare LFM2.5-24B-A2B with

Benchmarked models at a similar price.

LFM2.5-24B-A2B FAQ

How much does LFM2.5-24B-A2B cost?

LFM2.5-24B-A2B lists at $0.050 per 1M input tokens and $0.700 per 1M output tokens, with cached input reads at $0.025 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $72.00 at list price.

What is the context window of LFM2.5-24B-A2B?

LFM2.5-24B-A2B accepts up to 128,000 tokens of context and can return up to 8,192 output tokens per response.

Does LFM2.5-24B-A2B support tool calling?

Yes — LFM2.5-24B-A2B supports tool (function) calling and exposes extended reasoning. It accepts text input.

How does LFM2.5-24B-A2B score on benchmarks?

LiveBench has not published a run for LFM2.5-24B-A2B yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.

What is the API model ID for LFM2.5-24B-A2B?

On OpenRouter the model ID is "liquid/lfm-2.5-24b-a2b". It was listed on Oct 13, 2026.

More from liquid

How these numbers are produced

  • Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
  • Scores and ranks — LiveBench release 2026-09-02. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
  • Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.

Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.