lfm-2-5-24b-a2b
LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for tool-calling agents.
Pricing: Input 12 credits / 1M tokens (≈ $0.06), Output 168 credits / 1M tokens (≈ $0.84).
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LFM2.5-24B-A2B API on ModelFold
LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for tool-calling agents. Try LFM2.5-24B-A2B in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the LFM2.5-24B-A2B API
LFM2.5-24B-A2B at a glance
LFM2.5-24B-A2B is a chat model from Liquid AI. It accepts text as input and returns text, with a context window of up to 128K tokens.
Use it without hosting anything
On ModelFold you call LFM2.5-24B-A2B 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 LFM2.5-24B-A2B
Up to 128K 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
LFM2.5-24B-A2B 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
LFM2.5-24B-A2B 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 LFM2.5-24B-A2B on ModelFold
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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 LFM2.5-24B-A2B 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-2-5-24b-a2b" 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.
What You Can Build with LFM2.5-24B-A2B
Tool-calling backends
Route requests, call functions and chain API calls as the worker model inside larger agent systems.
Autonomous agents
Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.
High-volume pipelines
Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.
Frequently Asked Questions
What is LFM2.5-24B-A2B?⌄
LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for tool-calling agents.
Which inputs does LFM2.5-24B-A2B support?⌄
LFM2.5-24B-A2B 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 LFM2.5-24B-A2B?⌄
Up to 128K tokens, shared between your input and the model’s output.
Does LFM2.5-24B-A2B support function calling?⌄
Yes. LFM2.5-24B-A2B supports tools / function calling through the standard tools parameter of the chat completions API.
How is LFM2.5-24B-A2B 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 LFM2.5-24B-A2B through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "lfm-2-5-24b-a2b", using your ModelFold API key as the Bearer token.
| Input | 12 credits 1M tokens≈ $0.06 |
| Output | 168 credits 1M tokens≈ $0.84 |
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-2-5-24b-a2b","messages":[{"role":"user","content":"Hello"}]}'