LLM Reference

LFM2.5 1.2B Instruct

Released
2026-02-01
Last refreshed
2026-07-10
Status
Researched 14d ago
Open weightsCommercial use: conditionalAgentsClassificationJSON / Tool use

LFM2.5 1.2B Instruct is worth evaluating for agents, classification, and json / tool use when its provider route and context window match the workload.

Use it for

  • Teams evaluating agents, classification, and json / tool use
  • Workloads that can use a 32k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
Specifications
Family
LFM-2.5
Released
2026-02-01
Context
32k
Parameters
1.2B
Architecture
Decoder Only
Knowledge cutoff
2024
Specialization
general
Openness
Open weights
License
LFM Open License v1.0Commercial use: conditional
Weights
Available
Code
Unknown
Training
Pretrained
Created by

Adaptive and efficient AI models

Cambridge, MA, United States
Founded 2023
Website
Pricing
Output / 1M
-
Input / 1M
-

Cheapest of 1 route · Liquid AI

About

LFM2.5-1.2B-Instruct is a compact, high-performance instruction-tuned model from LiquidAI built for fast on-device AI. It delivers strong results on benchmarks relative to its size.

LFM2.5 1.2B Instruct is an open-weight model in the LFM-2.5 family. The structured metadata tracks a 32k-token context window, function calling, and tool use. This page tracks provider routes through Liquid AI. Headline tracked benchmarks include AIME 2025 14.0, Berkeley Function Calling Leaderboard v3 49.1, and Google-Proof Q&A 38.9.

Top use-case fit: coding, agents, and build tasks

Agents

1 relevant benchmark in the decision map.

Classification

1 relevant benchmark in the decision map.

JSON / Tool use

1 relevant benchmark in the decision map.

Provider price ladder

Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Liquid AI--
Partial

Capabilities

Function CallingTool Use

Benchmark peer barsfor Agents

Benchmark scores(4)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
AIME 202514.0AIME 2025 (accuracy)Observed 2026-06-07Source
Berkeley Function Calling Leaderboard v349.1BFCLv3 (accuracy)Observed 2026-06-07Source
Google-Proof Q&A38.9GPQA (accuracy)Observed 2026-06-07Source
MMLU PRO44.4From official model card (accuracy)Observed 2026-06-07Source

Migration checks

No linked migration route is available for this model yet.

Frequently asked questions

What is the context window of LFM2.5 1.2B Instruct?

LFM2.5 1.2B Instruct has a context window of 32k tokens.

When was LFM2.5 1.2B Instruct released?

LFM2.5 1.2B Instruct was released on 2026-02-01.

Which providers offer LFM2.5 1.2B Instruct?

LFM2.5 1.2B Instruct is available from 1 provider: Liquid AI.

What benchmarks has LFM2.5 1.2B Instruct been tested on?

LFM2.5 1.2B Instruct has been evaluated on 4 benchmarks, including AIME 2025, Berkeley Function Calling Leaderboard v3, Google-Proof Q&A, MMLU PRO.