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  4. LFM2.5 1.2B
Liquid AI
Released January 5, 2026

LFM2.5 1.2B

LFM2.5 1.2B is Liquid AI's on-device model family built on hybrid LIV convolution and GQA, trained on 28T tokens for edge agentic AI under 1GB memory.

Visit Liquid AIAnnouncement
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Model Overview

Capabilities, design details, and architectural traits

LFM2.5 1.2B - A Hybrid Architecture Family Built to Power

LFM2.5 1.2B is documented by Liquid AI as a model family built on the LFM2 device-optimized architecture, designed to be the building block of on-device agentic AI. It is not a single model but a full family, including Base, Instruct, Japanese, Vision-Language, and Audio-Language variants built on a shared backbone.

TraitDetail
Hybrid architectureBuilt on a 16-layer hybrid combining 10 double-gated LIV convolution blocks with 6 Grouped Query Attention (GQA) blocks, designed for fast, memory-efficient inference on CPUs and NPUs rather than GPU clusters.
Scaled pretrainingExtended from 10T to 28T tokens compared to LFM2, combined with multi-stage reinforcement learning focused on instruction following, tool use, math, and knowledge reasoning.
Sub-1GB memory footprintDocumented as running under 1GB of memory in quantized form with day-one support for llama.cpp, MLX, vLLM, and NPU targets including AMD, Qualcomm, and Apple Silicon.
Complete specialist familyAlongside the general Instruct variant, ships with a Japanese-optimized chat model, a VL model with multilingual vision, and an Audio model documented as 8x faster than its predecessor.

Open-Weight With a Revenue-Based License

Liquid AI documents LFM2.5 as free to download, run, and fine-tune commercially until a company exceeds $10M in annual revenue, a usage condition distinct from a standard open-source license.

Benchmark Performance

Independent evaluations · Artificial Analysis

2.3%
Intelligence

Accuracy & Capability Details

GPQA - Graduate Science32.6%
Humanity's Last Exam6.7%
SciCode - Scientific Coding2.3%
Instruction Following43.8%
Long Context Reasoning0.0%
τ²-Bench - Agentic Tasks10.8%
TerminalBench - System Control0.0%
Specs
Context window
33Ktokens

Prices in USD.

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderLiquid AIAnthropicAnthropic
Release DateJanuary 5, 2026July 24, 2026June 9, 2026
Knowledge Cutoff-May 2026-
Context & Limits
Context Window33K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
Free
Best Input Pricing
$5$10
Output Pricing
Free
Best Output Pricing
$25$50
Modalities
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Outputs
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Benchmarks (0-100)
Intelligence Index2.3
63.1
Best Intelligence Index
62.1
Coding Index-
78.0
Best Coding Index
76.5
Agentic Index-
59.2
Best Agentic Index
56.6
LFM2.5 1.2B
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

33%
LFM2.5 1.2B
GPQA Benchmark
Score: 33%
LFM2.5 1.2B
93%
Claude Opus 5
GPQA Benchmark
Score: 93%
Claude Opus 5
93%
Claude Fable 5
GPQA Benchmark
Score: 93%
Claude Fable 5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

7%
LFM2.5 1.2B
Humanity's Last Exam
Score: 7%
LFM2.5 1.2B
55%
Claude Opus 5
Humanity's Last Exam
Score: 55%
Claude Opus 5
56%
Claude Fable 5
Humanity's Last Exam
Score: 56%
Claude Fable 5

Long Context Reasoning

Logical reasoning over long context windows.

0%
LFM2.5 1.2B
Long Context Reasoning
Score: 0%
LFM2.5 1.2B
76%
Claude Opus 5
Long Context Reasoning
Score: 76%
Claude Opus 5
77%
Claude Fable 5
Long Context Reasoning
Score: 77%
Claude Fable 5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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