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.
Pricing: Input 19.2 credits / 1M tokens (≈ $0.10), Output 48 credits / 1M tokens (≈ $0.24).
Prices updated
How can I help you today?
This demo page does not include the full memory features of the client. For the complete experience, please use the client or the CLI.
More AI models from Liquid AI
Latest and popular AI models
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.
| Input | 19.2 credits 1M tokens≈ $0.10 |
| Output | 48 credits 1M tokens≈ $0.24 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →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"}]}'