LiquidAI: LFM2.5-2.6B
liquid/lfm-2.5-2.6bLFM2.5-2.6B 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...
- Context window
- 128,000 tokens
- Input
- text
- Output
- text
- Relay support
- Text & documents
Reference prices & points
Our global markup: 15% · 1 USD = 10,000 points · Price version 0
| Billing unit | OpenRouter / USD | Our reference / USD | Points |
|---|---|---|---|
| Input / 1M tokens | $0.35 | $0.4025 | 4,025 |
| Output / 1M tokens | $0.5 | $0.575 | 5,750 |
| Cache read / 1M tokens | $0.04 | $0.046 | 460 |
Actual charge = the OpenRouter request cost × the markup locked for that request. Catalogue rates may be routing references; caching, long context, images and audio are charged when used. Listed prices do not mean every capability is available through this relay.
Catalogue time: 2026-11-11T23:10:25.766Z · Live catalogue
View all upstream price fields
{
"prompt": "0.00000035",
"completion": "0.0000005",
"input_cache_read": "0.00000004"
}Integration & availability
Use /v1/chat/completions for non-streaming, multi-turn conversations. Models marked for vision accept images; documents can be extracted to text in the workspace. Create a site API key and ensure you have enough points and the service is enabled. Provider availability, context and budget limits apply.