LFM2.5-24B-A2B
by Liquid AI · 24B (2B active) parameters
Today's price · per 1M tokens
Input
$0.050
per 1M tokens
Output
$0.700
per 1M tokens
Blended
$0.212
blended $/1M — 3:1 weighted input:output
Cached input
$0.025
50% of input — prompt caching
How this price is scoped: Liquid AI's own rate card lists LFM2.5-24B-A2B at $0.05 / 1M input tokens, $0.025 / 1M cached input tokens and $0.70 / 1M output tokens, and states the price is the same on Liquid Console, OpenRouter and Vercel AI Gateway. It is a reasoning-only model, so its thinking tokens are billed as output.
Price receipt
We read Liquid AI's own pricing page on and found LFM2.5-24B-A2B listed with a price on the same row — that read is where the number above comes from, recorded as a new model. We keep the page text we read; its content hash is 5f49bf0d2d.
Overview
The largest and last model in Liquid AI's LFM2.5 family, a mixture-of-experts reasoning model with 24B total and 2B active parameters that always thinks before it answers. It is post-trained for tool calling and multi-step agent tasks, has a 131,072-token context window, and is built to run fast on-device as well as in the cloud. $0.05 input / $0.70 output per 1M tokens on Liquid's API.
Deploy this open model on rented GPUs
Open weights mean you can self-host instead of paying per-token API prices. These platforms let you serve it on demand — often cheaper at scale.
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Capabilities
struck through = not supportedBenchmark performance
accuracy % · higher is betterEvery per-benchmark score we hold for this model is reported by its own vendor, so none is counted toward an accuracy average or any ranking.
Source: Liquid AI LFM2.5-24B-A2B launch post (SWE-Bench Verified, OpenCode scaffold), Liquid AI LFM2.5-24B-A2B launch post (Table 1) · updated · See full rankings →
Specifications
- Provider
- Liquid AI
- Context window
- 131K tokens
- Modality
- text
- Parameters
- 24B (2B active)
- Open source
- Yes — open weights available
- Released
- Status
- Current
- Last updated
- Tags
Availability verified: — listed on Liquid AI's own page