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LiquidAI: LFM2.5-24B-A2B API Pricing

LiquidAI: LFM2.5-24B-A2B costs $0.050 per 1M input tokens and $0.700 per 1M output tokens (cache reads: $0.025). Context window: 128K. Prices verified 2026-10-21 · source

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Price history
2026-10-14 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Community adoption
17K
HF downloads
533
Likes

High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$0.050
Output / 1M tokens
$0.700
Context window
128K
Max output
8K

Token economics

Token typePricevs base input
Standard input$0.050—
Cache read$0.025−50%
Output$0.700—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

Reasoning behavior
Mode: Always on (mandatory)

Higher effort = deeper thinking = more reasoning tokens billed as output.

What would LiquidAI: LFM2.5-24B-A2B cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$3.20
Coding agent5,0008,000 / 2,000$9.00
RAG pipeline30,0004,000 / 500$16.50
Doc summarizer2,00020,000 / 1,000$3.40

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About LiquidAI: LFM2.5-24B-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...

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Frequently asked questions

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

LiquidAI: LFM2.5-24B-A2B costs $0.050 per 1M input tokens and $0.700 per 1M output tokens; cached input tokens cost $0.025 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

128K tokens, with up to 8K output tokens per response. That's roughly 160 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.025/1M, about 50% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

Mistral: Mistral Nemo saves about 88% on a typical workload with comparable quality.

Official resources