What are LFM2.5-1.2B-Instruct's benchmark scores?

As of 25 Oct 2026, LFM2.5-1.2B-Instruct scores 39.8 ±5.9 on the BenchLeader Index, strongest in instruction following (46) and weakest in long context (23). That rests on 6 independent benchmark results, and every score on this page links to its publisher.

How does LFM2.5-1.2B-Instruct rank?

LFM2.5-1.2B-Instruct is #674 of 785 ranked configurations on 25 Oct 2026. 287 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.

When was LFM2.5-1.2B-Instruct released?

Liquid AI released LFM2.5-1.2B-Instruct on 5 Jan 2026. BenchLeader has results for it at 2 reasoning-effort settings.

Liquid AI Open weights: LiquidAI/LFM2.5-1.2B-InstructReasoning modelCompare with another model

LFM2.5-1.2B-Instruct

Reasoning effort

LFM2.5-1.2B-Instruct is a Liquid AI open-weights reasoning model, released 5 Jan 2026. Its best configuration ranks #674 of 785 on the BenchLeader Index at 39.8 ±5.9, in the lower half. The ± is the point: 287 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in instruction following (46) and lowest in long context (23). It has been measured at 2 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 5 Jan 2026.stale: no new result in six months

Blended price: –
Output speed: –
First answer: –
Context: 32k
Full answer: –
Cost per run: –
Released: 5 Jan 2026

How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.

Overall index40
Reasoning41
Agents & tools34
Knowledge29
Instruction following46
Long context23
Composite35

Reasoning-effort configurations

The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Not stated” collects results from publishers that did not say which setting they used; for a reasoning model that is usually its thinking mode, but we do not assume it. Pick a setting here or at the top of the page to see its price, speed and category scores.

Effort	Index	Rank	Speed	First answer	Chat reply cost	Categories
thinking	39.2	#693	–	–	–	Agents & tools 34 · Composite 35 · Instruction following 44 · Knowledge 25 · Long context 23 · Reasoning 41
not statedbest	39.8	#674	–	–	–	Agents & tools 34 · Composite 35 · Instruction following 46 · Knowledge 29 · Long context 23 · Reasoning 41

How its index has moved

9 Sept 2026 to 21 Oct 2026

not stated
thinking

The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

Benchmark	thinking	not stated	Source
GPQA Diamond (AA)not in index	33.9%#499	32.6%#509	Artificial Analysis
Humanity's Last Exam (AA)not in index	6.2%#401	6.7%#383	Artificial Analysis
CritPt	0.0%#315	0.0%#315	Artificial Analysis

Agents & tools

Benchmark	thinking	not stated	Source
Terminal-Bench Hard	0.0%#362	0.0%#362	Artificial Analysis
τ²-Bench Telecom (AA)not in index	19.6%#337	10.8%#380	Artificial Analysis

Knowledge

Benchmark	thinking	not stated	Source
AA-Omniscience	-80.0#539	-72.1#521	Artificial Analysis
AA-Omniscience: accuracynot in index	7.4%#522	7.0%#525	Artificial Analysis
AA-Omniscience: non-hallucinationnot in index	5.6%#516	14.9%#341	Artificial Analysis

Instruction following

Benchmark	thinking	not stated	Source
IFBench	41.8%#242	43.8%#219	Artificial Analysis

Long context

Benchmark	thinking	not stated	Source
AA-LCR	0.0%#493	0.0%#493	Artificial Analysis

Composite

Benchmark	thinking	not stated	Source
AA Intelligence Index v4.3.2	5.2#594	5.2#596	Artificial Analysis

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Questions people ask

What are LFM2.5-1.2B-Instruct's benchmark scores?: As of 25 Oct 2026, LFM2.5-1.2B-Instruct scores 39.8 ±5.9 on the BenchLeader Index, strongest in instruction following (46) and weakest in long context (23). That rests on 6 independent benchmark results, and every score on this page links to its publisher.
How does LFM2.5-1.2B-Instruct rank?: LFM2.5-1.2B-Instruct is #674 of 785 ranked configurations on 25 Oct 2026. 287 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
When was LFM2.5-1.2B-Instruct released?: Liquid AI released LFM2.5-1.2B-Instruct on 5 Jan 2026. BenchLeader has results for it at 2 reasoning-effort settings.

Data as of 25 Oct 2026. Compare these configurations.

Cite as: BenchLeader, “LFM2.5-1.2B-Instruct: benchmarks, pricing, speed and rank”, data as of 25 Oct 2026, https://www.benchleader.com/models/lfm2-5-1-2b.