The Orchestrator › Models › Liquid AI
Liquid AI: LiquidAI: LFM3-1.7B
A 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...
Specifications
| Provider | Liquid AI |
| Model ID | liquid/lfm-3-1.7b |
| Context window | 262K tokens (262,144) |
| Modalities | text → text |
| Tokenizer | Other |
| Router sources | OpenRouter |
| Released | 2026-11-06 |
| Tracked since | 2026-11-14 |
| Popularity | Not in the ranked set |
| Reasoning | Mandatory |
Pricing (per million tokens)
| Variant | Source | API ID | Input | Output | Context |
|---|---|---|---|---|---|
| standard | OpenRouter | liquid/lfm-3-1.7b | $0.08 | $0.2 | 262K |
| free | OpenRouter | liquid/lfm-3-1.7b:free | Free | Free | 262K |
Recorded price history
| Date | Input / 1M | Output / 1M | Context |
|---|---|---|---|
| 2026-11-14 | $0.08 | $0.2 | 262K |
Capabilities
Agentic tool useStructured outputsReasoning (always on)256K+ context windowControllable reasoning
Supported parameters
frequency_penalty, include_reasoning, logprobs, max_completion_tokens, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p