lfm-3-1-7b-free
LFM3 1.7B (free) is a compact 1.7B-parameter text model from Liquid AI with a 256K context window, post-trained for agents, tool calling and structured outputs; it reasons before answering. This is the free tier served through OpenRouter: requests are rate-limited, the free version may be withdrawn at any time, and free providers may log prompts — use the paid version for production.
料金： 入力：100 万トークンあたり 0 クレジット（約 $0.00）、出力：100 万トークンあたり 0 クレジット（約 $0.00）。
今日はどんなお手伝いができますか？
このデモページにはクライアントの完全な記憶機能はありません。すべての機能をご利用いただくには、クライアントまたは CLI から接続してください。
Liquid AI のほかの AI モデル
LFM3 1.7B (free) is a compact 1.7B-parameter text model from Liquid AI with a 256K context window, post-trained for agents, tool calling and structured outputs; it reasons before answering. This is the free tier served through OpenRouter: requests are rate-limited, the free version may be withdrawn at any time, and free providers may log prompts — use the paid version for production.
LFM3-1.7B (free) at a glance
LFM3-1.7B (free) 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
The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of LFM3-1.7B (free)
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 (free) 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 (free) 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.
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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 (free) responds before writing any code.
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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.
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Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "lfm-3-1-7b-free" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
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Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
High-volume pipelines
Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.
Tool-calling backends
Route requests, call functions and chain API calls as the worker model inside larger agent systems.
Low-latency experiences
Power chat interfaces, autocomplete and interactive tools where users expect fast responses.
Frequently Asked Questions
What is LFM3-1.7B (free)?⌄
LFM3 1.7B (free) is a compact 1.7B-parameter text model from Liquid AI with a 256K context window, post-trained for agents, tool calling and structured outputs; it reasons before answering. This is the free tier served through OpenRouter: requests are rate-limited, the free version may be withdrawn at any time, and free providers may log prompts — use the paid version for production.
Which inputs does LFM3-1.7B (free) support?⌄
LFM3-1.7B (free) 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 (free)?⌄
Up to 262K tokens, shared between your input and the model’s output.
Does LFM3-1.7B (free) support function calling?⌄
Yes. LFM3-1.7B (free) supports tools / function calling through the standard tools parameter of the chat completions API.
How is LFM3-1.7B (free) billed on ModelFold?⌄
This is the free version served through OpenRouter: calls are not charged, but they are rate-limited and the free version may be withdrawn at any time. Use the paid version of the model for production traffic.
| 入力 | 0 クレジット 1M tokens≈ $0.00 |
| 出力 | 0 クレジット 1M tokens≈ $0.00 |
トークン単位で課金し、入力と出力は別料金です。思考トークンは出力に含まれます。Playground でも同じ計算を使います。
API ドキュメントを見る →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-free","messages":[{"role":"user","content":"Hello"}]}'