Liquid AI · llm model

LFM3-1.7B

LFM3-1.7B is Liquid AI's latest language model in our dataset, released Oct 27, 2026. Open weights (LFM Open License v1.0). Liquid AI's 1.7B open-weights text model for on-device agents, the text member of the six-model LFM3 family announced Oct 27, 2026, with a 256K-token context window. Verified against vendor sources on Oct 31, 2026.

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Primary source: https://www.liquid.ai/blog/lfm3. We are the fast, independent index; the vendor’s own page is the source of record for these model facts.

LFM3-1.7B at a glance: 256,000-token context window; takes text in; returns text.

  • ReleasedOct 27, 2026
  • Context window256K256,000 tokens
  • LicenceOpen weights, restrictedLFM Open License v1.0
InTextOutText

Key facts

Vendor-reported facts are read from the linked vendor page on the date shown above; we did not run the model. Independently tested means we ran it; no fact on this page is. Editorial is our own classification, not a vendor claim. Where a linked page does not itself state a value, the row says so. How to read provenance.

LFM3-1.7B: key facts with sources
FactValueLabelSource
VendorLiquid AIEditorialn/a
ReleasedOct 27, 2026 Date on Liquid AI's launch post.Vendor-reportedsource
Statusgenerally availableEditorialn/a
Context window256,000 tokens (256K) Stated as 256K tokens.Vendor-reportedsource
InputtextVendor-reportedsource
OutputtextVendor-reportedsource
Parameters1.7B total, Hybrid LFM3 architecture; pre-trained on 22T tokensVendor-reportedsource
LicenceLFM Open License v1.0 (open weights)Vendor-reportedsource

Where LFM3-1.7B sits in our data

Alternatives to LFM3-1.7B

Language models from other vendors that share at least one of our groups with LFM3-1.7B. Comparable on paper, from each model’s sourced facts; we have not run them.

  • Nemotron 3.5 Bolt E4B (4GB)NVIDIA · Both in: Open weights, Runs on your own hardware, Small and fast · 64K context · released Oct 23, 2026
  • Gemma 4Google · Both in: Open weights, Runs on your own hardware, Small and fast · 256K context · released Mar 31, 2026
  • Mistral Small 4Mistral AI · Both in: Open weights, Runs on your own hardware, Small and fast · $0.15 in / $0.6 out per 1M tokens · 256K context · released Mar 16, 2026
  • Ministral 3 14BMistral AI · Both in: Open weights, Runs on your own hardware, Small and fast · $0.2 in / $0.2 out per 1M tokens · 256K context · released Dec 2, 2025
  • SenseNova-Loop-9B-PreviewSenseNova · Both in: Open weights, Runs on your own hardware · 262K context · released Oct 30, 2026
  • MiniMax M3.1 FlashMiniMax · Both in: Open weights, Small and fast · $0.15 in / $0.6 out per 1M tokens · 1M context · released Oct 19, 2026

Side by side: Best open-weight LLMs: how to choose

What the sources say

These are claims from the linked pages, not our measurements.

  • Liquid AI says the text model fits in about 1 GB at 4-bit precision and outperforms its LFM2.5-2.6B while using 35% fewer parameters. Vendor claim; we did not run it.

Notes

  • GGUF, MLX, ONNX, FP8 and NVFP4 builds are on Hugging Face.

What we tested

Nothing yet. We have not run LFM3-1.7B ourselves, so every fact on this page is Reported from the sources below. When we do test it, the scope will be stated here and in our test logs. See methodology.

Not verified, left out

We could not confirm these on a vendor page, so we do not state them.

  • The vision, audio, omni and two decision models in the LFM3 family are not tracked as separate entries yet.
  • Benchmark scores were not captured.

LFM3-1.7B FAQ

When was LFM3-1.7B released?

Liquid AI released LFM3-1.7B on Oct 27, 2026. Source.

How large is the LFM3-1.7B context window?

256,000 tokens. Source.

Is LFM3-1.7B open weights?

Yes. The weights are published under LFM Open License v1.0. Source.

Has Agentic Weekly tested LFM3-1.7B?

Not yet. Every fact on this page is Reported: read from the linked vendor pages, not measured by us.

Sources

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