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LFM2.5-1.2B-Thinking: Responses
Liquid AI’s LFM2.5-1.2B-Thinking is a compact reasoning model that works through a problem step by step before it answers. Built by Liquid AI, it generates an explicit chain-of-thought trace so for multi-step math, planning, data extraction, and agentic tool-calling, you get verifiable intermediate reasoning, not just a final guess. At 1.2B parameters it fits under a gigabyte and runs fast on CPU at the edge, rivaling models several times its size on reasoning benchmarks. Reach for a frontier model when the task is knowledge-heavy or code-intensive, and keep this one as the planning brain that decides and orchestrates. When the task needs reasoning, this is the model.
References: Model docsTermsPrivacy

Authorizations

x-api-key
string
header
required

Headers

x-project-id
string

Optional project identifier. Scopes the request to a specific project when provided.

Body

application/json
model
string
default:LFM2.5-1.2B-Thinking
required

Model identifier (fixed for this playground). Use request examples to change use cases.

Allowed value: "LFM2.5-1.2B-Thinking"
Example:

"LFM2.5-1.2B-Thinking"

input
string<textarea>
required

Multi-line text or document content to send to the model.

Required string length: 1 - 131072
instructions
string
metadata
object

Response

Success

The response is of type object.