LiquidAI: LFM3-1.7B
liquid/lfm-3-1.7bA compact 1.7B-parameter text model with a 256K-token context, post-trained for agents, tool calling, and structured outputs. It reasons before it answers. Prompts and outputs may be retained and used...
- Context window
- 262,144 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 | $0.08 | $0.092 | 920 |
| Output / 1M tokens | $0.2 | $0.23 | 2,300 |
| Cache read / 1M tokens | $0.02 | $0.023 | 230 |
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: 2026-11-11T23:00:23.616Z · Live catalogue
View all upstream price fields
{
"prompt": "0.00000008",
"completion": "0.0000002",
"input_cache_read": "0.00000002"
}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.