liquid
LiquidAI: LFM2.5-2.6B
liquid/lfm-2.5-2.6b
LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...
- Type
- text
- Provider
- liquid
- Model ID
- liquid/lfm-2.5-2.6b
- Capabilities
- tools, reasoning
- Context window
- 128K tokens
- Self-hostable
- Yes — runs on your own GPU
- Input price
- $0.39 / 1M tokens
- Output price
- $0.55 / 1M tokens
Cloud price is billed from prepaid credits when a request fails over to the cloud. Open-weight models run free on GPUs you own — the gateway routes to your nodes first.
What it costs to run
cloud · 1M in + 1M out
$0.94
$0.39 for a million input tokens plus $0.55 for a million output tokens, billed from credits only when a request fails over to the cloud.
your hardware
$0 / token
Served from a workstation or on-prem server you own, there is no per-token fee — the marginal cost is power.
Run it on your own hardware
Estimated GPU memory for LiquidAI: LFM2.5-2.6B (2.6B parameters), for the weights alone — add room for the context cache.
- Q4_K_M
- ~2.2 GBfits a 8 GB card
- Q8_0
- ~3.3 GBfits a 8 GB card
- FP16 / BF16
- ~5.6 GBfits a 8 GB card
Install the agent on the machine and it dials out to the gateway over a single WebSocket — no port forwarding or inbound firewall rules. Requests for this model go to your node first and fail over to the cloud only when it can't serve.
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Call LiquidAI: LFM2.5-2.6B through one OpenAI-compatible endpoint.
Serve it from hardware you own, with cloud failover when your nodes are busy or offline.
no credit card · 2 nodes free · openai-compatible
Frequently asked questions
- What is the context window of LiquidAI: LFM2.5-2.6B?
- LiquidAI: LFM2.5-2.6B accepts up to 128,000 tokens (128K) of context per request.
- How much does LiquidAI: LFM2.5-2.6B cost per million tokens?
- Through Wide Area Intelligence, LiquidAI: LFM2.5-2.6B costs $0.39 per 1M input tokens and $0.55 per 1M output tokens when served from the cloud, billed from prepaid credits. A workload of 1M input plus 1M output tokens costs $0.94.
- Can I run LiquidAI: LFM2.5-2.6B on my own hardware?
- Yes — LiquidAI: LFM2.5-2.6B is an open-weight model you can run on a workstation or on-prem server you own. At Q4_K_M it needs roughly 2.2 GB of GPU memory, plus room for the context cache — it fits a single 8 GB card. Wide Area Intelligence routes requests to your own nodes first and fails over to the cloud only when they can't serve.