lfm-2-5-2-6b
LFM2.5-2.6B is a compact reasoning model from Liquid AI for agent workflows, data extraction, RAG and long-context processing. Liquid advises against using it for agentic coding.
Pricing: Input 70 credits / 1M tokens (≈ $0.35), Output 100 credits / 1M tokens (≈ $0.50).
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LFM2.5-2.6B API on ModelFold
LFM2.5-2.6B is a compact reasoning model from Liquid AI for agent workflows, data extraction, RAG and long-context processing. Liquid advises against using it for agentic coding. Try LFM2.5-2.6B in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the LFM2.5-2.6B API
LFM2.5-2.6B at a glance
LFM2.5-2.6B 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 LFM2.5-2.6B 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 LFM2.5-2.6B
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
LFM2.5-2.6B 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
LFM2.5-2.6B 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 LFM2.5-2.6B 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 LFM2.5-2.6B 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-2-5-2-6b" 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 LFM2.5-2.6B
High-volume pipelines
Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.
Long-document workflows
Feed in long reports, contracts, manuals or codebases and ask for summaries, comparisons and answers grounded in the material.
Autonomous agents
Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.
Tool-calling backends
Route requests, call functions and chain API calls as the worker model inside larger agent systems.
Frequently Asked Questions
What is LFM2.5-2.6B?⌄
LFM2.5-2.6B is a compact reasoning model from Liquid AI for agent workflows, data extraction, RAG and long-context processing. Liquid advises against using it for agentic coding.
Which inputs does LFM2.5-2.6B support?⌄
LFM2.5-2.6B 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 LFM2.5-2.6B?⌄
Up to 128K tokens, shared between your input and the model’s output.
Does LFM2.5-2.6B support function calling?⌄
Yes. LFM2.5-2.6B supports tools / function calling through the standard tools parameter of the chat completions API.
How is LFM2.5-2.6B 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 LFM2.5-2.6B through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "lfm-2-5-2-6b", using your ModelFold API key as the Bearer token.
| Input | 70 credits 1M tokens≈ $0.35 |
| Output | 100 credits 1M tokens≈ $0.50 |
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-2-5-2-6b","messages":[{"role":"user","content":"Hello"}]}'