Model comparison
LFM2.5-1.2B-Instruct (free) vs LFM2.5-1.2B-Thinking (free)
Compare LFM2.5-1.2B-Instruct (free) and LFM2.5-1.2B-Thinking (free): input/output $/Mtoken, context window, modalities, and license. OpenRouter-synced pricing.
Liquid
LFM2.5-1.2B-Instruct (free)
LFM2.5-1.2B-Instruct is a compact, high-performance instruction-tuned model built for fast on-device AI. It delivers strong chat quality in a 1.2B parameter footprint, with efficie
Liquid
LFM2.5-1.2B-Thinking (free)
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 lon
| Metric | LFM2.5-1.2B-Instruct (free) | LFM2.5-1.2B-Thinking (free) |
|---|---|---|
| Provider | Liquid | Liquid |
| Context window | 32,768 | 32,768 |
| Input $/Mtok | $0 | $0 |
| Output $/Mtok | $0 | $0 |
| Modalities | text | text |
| License | open-weights | open-weights |
Quick take
On input price, LFM2.5-1.2B-Instruct (free) is cheaper at $0/Mtok. For context window, LFM2.5-1.2B-Instruct (free) leads with 32,768 tokens.
Pick based on your workload: high-volume cheap inference vs long-document / agent loops. Enterprise DNA can wire either model into Omni with evals, secrets, and job orchestration.