LLM AtlasLLM AtlasSearch models

Liquid AI

LFM2.5-1.2B-Thinking

Overall 49Open weightopen-weight

Liquid AI's 1.2B LFM2.5-Thinking with chain-of-thought reasoning for edge devices. 30K downloads on HuggingFace.

Last verified: 2026-03-29Confidence: HighSources: 4
textreasoningopen-source
Input price
Not applicable
Output price
Not applicable
Context window
131,072
Max output
16,384
Release date
2026-02-12
Access
open-weight, self-hosted
License
LFM Open License v1.0
Last verified
2026-03-29

Capability profile

Radar view of the model's practical strengths. This chart is backed by textual summaries below for crawlability.

Benchmark summary

Edge-optimized reasoning model with chain-of-thought capability.

No benchmark series is attached to this model yet. Source links and product metadata are available below.

Strengths

  • • Chain-of-thought reasoning
  • • 128K context
  • • Runs on mobile
  • • Open license

Trade-offs

  • • Very small model
  • • Limited reasoning depth

Crawlable benchmark analysis

LFM2.5-1.2B-Thinking is positioned as an edge-optimized reasoning model with published scores that emphasize its practical fit for buyers evaluating the entry.

Published scores highlight reasoning 42/100, coding 28/100, enterprise readiness 52/100, vision 5/100, speed 98/100, and safety 60/100.

Pricing is not applicable for this self-hosted or open-weight entry. With a context window of 131,072 tokens, it supports large-document analysis and retrieval workflows.

Benchmark coverage is still limited for this entry, so this section focuses on published metadata and deployment fit.

Sources

Provider and distribution links used to verify this model record.

Last verified: 2026-03-29

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