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Liquid AI

LFM3-1.7B

Benchmarks, price, context and versions

Also searched as

LFM3 1.7B

Direct answer: LFM3-1.7B is a model from Liquid AI. On OpenRouter, US$ 0.08 per 1 million input tokens and US$ 0.20 per 1 million output tokens.

✓ Good for

  • high-volume use (input price in the cheapest 25% on OpenRouter)
  • running on your own infrastructure (open weights)

✕ Not the best for

  • Not enough data in the open sources this section uses to build this block.

This block follows a rule of this section, using source data: if the model is in the top 25% of the metric, the item goes under "Good for"; if it is in the bottom half, it goes under "Not the best for". The middle band appears in neither. Price and context use OpenRouter; scores use Epoch AI or OpenRouter Benchmarks, in the latest version we checked.

Benchmarks

no data

Key specs

Origin
the US
Family
LFM provisional data
Weights?what it is
open
License
other
Input US$/1M?
US$ 0.08
Output US$/1M
US$ 0.20
Context?
262,144 tokens
Parameters
1,728,801,536
Input
text
OpenRouter usage?
no data
Downloads (30 days)?
82,718
Use cases provisional data
Text Agents
Dates in sources
  • 2026, listed on OpenRouter
  • 2026, Hugging Face repo created

Version history

Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch.

FAQ

What is LFM3-1.7B?

LFM3-1.7B is a model from Liquid AI, with open weights, used for text, agents.

How much does LFM3-1.7B cost?

On OpenRouter, US$ 0.08 per 1 million input tokens and US$ 0.20 per 1 million output tokens.

What is the context window of LFM3-1.7B?

262,144 tokens, per OpenRouter.

Is LFM3-1.7B open source?

Yes, it has open weights. License: other.

Is LFM3-1.7B good for coding?

No data: there is no SWE-bench Verified measurement for it in open sources.

Who made LFM3-1.7B?

It was made by Liquid AI, a lab from the US.

provisional data Questions under review: Semrush had no API balance during collection. Answers use source data only.

Models from Liquid AI

See lab

Sources

  • Hugging Face Hub, metadados públicos do Hub; licença de cada modelo no repositório, latest version we checked.
  • OpenRouter, dados públicos da API; exports de benchmarks e rankings em CC BY 4.0, latest version we checked.

Dates come from the sources: OpenRouter listing or Hugging Face repo creation, which may differ from the official launch. Family and version were grouped by rule from the name.