lfm-3-1-7b
LFM3-1.7B is a compact 1.7B-parameter text model from Liquid AI with a 256K-token context, post-trained for agents, tool calling and structured outputs. It reasons before it answers.
Precio: Entrada: 19.2 créditos / 1 M de tokens (≈ $0.10); salida: 48 créditos / 1 M de tokens (≈ $0.24).
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LFM3-1.7B API on ModelFold
LFM3-1.7B is a compact 1.7B-parameter text model from Liquid AI with a 256K-token context, post-trained for agents, tool calling and structured outputs. It reasons before it answers. Try LFM3-1.7B in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the LFM3-1.7B API
LFM3-1.7B at a glance
LFM3-1.7B is a chat model from Liquid AI. It accepts text as input and returns text, with a context window of up to 262K tokens.
Use it without hosting anything
On ModelFold you call LFM3-1.7B with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of LFM3-1.7B
Up to 262K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Function calling
LFM3-1.7B supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.
Reasoning mode
LFM3-1.7B can produce reasoning before its final answer; in the Playground you can switch reasoning on or off to compare results.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use LFM3-1.7B on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how LFM3-1.7B responds before writing any code.
- 2
Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "lfm-3-1-7b" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with LFM3-1.7B
Tool-calling backends
Route requests, call functions and chain API calls as the worker model inside larger agent systems.
High-volume pipelines
Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.
Low-latency experiences
Power chat interfaces, autocomplete and interactive tools where users expect fast responses.
Autonomous agents
Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.
Frequently Asked Questions
What is LFM3-1.7B?⌄
LFM3-1.7B is a compact 1.7B-parameter text model from Liquid AI with a 256K-token context, post-trained for agents, tool calling and structured outputs. It reasons before it answers.
Which inputs does LFM3-1.7B support?⌄
LFM3-1.7B accepts text and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.
How long is the context window of LFM3-1.7B?⌄
Up to 262K tokens, shared between your input and the model’s output.
Does LFM3-1.7B support function calling?⌄
Yes. LFM3-1.7B supports tools / function calling through the standard tools parameter of the chat completions API.
How is LFM3-1.7B billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call LFM3-1.7B through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "lfm-3-1-7b", using your ModelFold API key as the Bearer token.
| Entrada | 19.2 créditos 1M tokens≈ $0.10 |
| Salida | 48 créditos 1M tokens≈ $0.24 |
Se cobra por token, con tarifas separadas para entrada y salida. Los tokens de razonamiento cuentan como salida. El entorno de pruebas aplica exactamente el mismo cálculo.
Leer la documentación de la API →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"lfm-3-1-7b","messages":[{"role":"user","content":"Hello"}]}'