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BenchLM

LFM2.5-350M

CurrentReleased Mar 31, 2026Open WeightNon-Reasoning32K context

Released Mar 31, 2026 — see all recent releases

Decision reading
LFM2.5-350M is tracked, but not publicly ranked yet. The profile exposes 0 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Data as of August 13, 2026 · How the score is built

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Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
Not published
Context window
32K
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not sourced yet
Availability
Not sourced yet
Cloud regions
Not tracked yet
Lifecycle
Current
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing record
Self-host
Open weights available; hardware estimate not sourced
Rate limits
Not tracked yet

Deployment options

Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.

Published weights are available, but BenchLM does not yet have a sourced parameter and VRAM profile for this exact model. Hardware cost estimates stay unavailable until that sizing record is complete.

Estimate VRAM from known parameters

Lineage

The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

Mar 31, 2026 · you are here

LFM2.5-350M

Not publicly ranked · Price not listed

Instruct

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track LFM2.5-350M, but no weighted text-model benchmark result is published on the site yet. This page shows the metadata and separate protocol evidence we can verify now; a BenchLM score will appear only if compatible public evaluations land.

LFM2.5-350M is a open weight model with a 32K context window. No explicit reasoning mode is documented in this profile.

Official exact-value snapshot from Liquid AI's March 31, 2026 LFM2.5-350M launch post. BenchLM maps only the directly comparable GPQA Diamond, MMLU-Pro, and IFEval results for now; IFBench, Multi-IF, BFCL, and CaseReportBench remain out-of-schema reference signals.

The profile has no source-displayable benchmark row yet.

Radar

LFM2.5-350M release history

Full release history

Frequently asked questions

How does LFM2.5-350M perform overall in AI benchmarks?

LFM2.5-350M does not have any source-displayable benchmark rows yet, so this profile does not assign a public score or rank. Documented specifications remain visible, while score-led charts and claims stay unavailable until a published evaluation can be attached to the exact model.

Is LFM2.5-350M open source?

LFM2.5-350M is an open-weight model from LiquidAI. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.

Does LFM2.5-350M have full benchmark coverage on BenchLM?

No. LFM2.5-350M currently has 0 source-displayable rows across 431 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of LFM2.5-350M?

LFM2.5-350M has a reported context window of 32K in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.

Last updated August 13, 2026. Runtime fields remain blank until a sourced snapshot exists.

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