LiquidAI: LFM2.5-1.2B-Thinking (free)

liquid/lfm-2.5-1.2b-thinking:free

Released Jan 20, 202632,768 context

$0/M input tokens$0/M output tokens

LFM2.5-1.2B-Thinking is a lightweight reasoning-focused model optimized for agentic tasks, data extraction, and RAG—while still running comfortably on edge devices. It supports long context (up to 32K tokens) and is designed to provide higher-quality “thinking” responses in a small 1.2B model.

Providers for LFM2.5-1.2B-Thinking (free)

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for LFM2.5-1.2B-Thinking (free)

Compare different providers across OpenRouter

Effective Pricing for LFM2.5-1.2B-Thinking (free)

Actual cost per million tokens across providers over the past hour

Apps using LFM2.5-1.2B-Thinking (free)

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Recent activity on LFM2.5-1.2B-Thinking (free)

Total usage per day on OpenRouter

Prompt

17.5M

Reasoning

6.33M

Completion

386K

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for LFM2.5-1.2B-Thinking (free)

Uptime stats for LFM2.5-1.2B-Thinking (free) across all providers

Sample code and API for LFM2.5-1.2B-Thinking (free)

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible completion API to 300+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.

LFM2.5-1.2B-Thinking (free) - API Pricing & Providers | OpenRouter