---
id: "liquid/lfm-3-1.7b"
also: ["liquid/lfm-3-1.7b-20261106", "LiquidAI/LFM3-1.7B"]
card_usd_per_m: "0.08 in, 0.2 out, at liquid/fp8"
cheapest_list_usd_per_m: "0.08 in, 0.2 out, at liquid/fp8 on openrouter"
cheapest_effective_usd_per_m: "0.026 in, 0.1994 out, at liquid/fp8 on openrouter"
context: 262144
max_output: 8192
input: ["text"]
output: ["text"]
released: "2026-11-06"
api: ["/api/v1/chat/completions", "/api/v1/completions", "/api/v1/messages", "/api/v1/responses"]
params: ["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"]
endpoints: 1
gateways: "openrouter (1)"
no_training: 1
trains: 0
retains_prompts: 0
---
# 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...