Last refreshed 2026-10-14. Next refresh: weekly.
Why use LFM2.5-24B-A2B on Liquid AI?
Liquid AI offers LFM2.5-24B-A2B with pay-as-you-go pricing at $0.10/1M input tokens. Liquid AI provides its LFM models through the LEAP on-device inference SDK and LEAP Model Library.
Compare LFM2.5-24B-A2B across 3 providers to find the best fit for your use caseSetup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: lfm-2.5-24b-a2blfm-2.5-24b-a2bRequest example
lfm-2.5-24b-a2b.Gotchas
No curated gotchas have been sourced for this exact provider/model route yet.
Compare LFM2.5-24B-A2B Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Liquid AI | $0.10 | $1.00 |
| OpenRouter | $0.05 | $0.70 |
| Vercel AI Gateway | $0.05 | $0.70 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.10 |
| Output tokens | $1.00 |
Capabilities
About LFM2.5-24B-A2B
LFM2.5-24B-A2B is Liquid AI's largest LFM2.5 model: a 24B-parameter mixture-of-experts reasoning model with about 2B active parameters per token, built for fast on-device agents. It keeps the LFM2 hybrid of gated short convolutions and GQA (40 layers, 64 experts, top-4 routing), extends context from 32,768 to 131,072 tokens, doubles the vocabulary to 128K, and scales pre-training from 17T to 33T tokens. Unlike LFM2-24B-A2B, it is reasoning-only (explicit chain of thought before the final answer) and is post-trained for tool calling and multi-step agent harnesses.