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Last scan 2026-11-07 Models tracked 308 Providers 42 Cheapest paid pplx-decider-flash-v1.2 $0.010/Mtok in Every price links to its source

LFM3-1.7B

by Liquid AI · 1.73B parameters

Current new · 11d budget open weights cheap tier
Availability: Sold per token by Liquid AI on Liquid Console (every new organization gets $2 of free credit), and at the same price through OpenRouter, where Liquid is the only provider, and Vercel AI Gateway. The open weights are on Hugging Face under the LFM Open License v1.0, which is free for businesses under $10M in annual revenue; larger companies need a paid licence to self-host.

Today's price · per 1M tokens

Input

$0.080

per 1M tokens

Output

$0.200

per 1M tokens

Blended

$0.110

blended $/1M — 3:1 weighted input:output

Cached input

$0.020

25% of input — prompt caching

How this price is scoped: Liquid AI's own rate card lists LFM3-1.7B at $0.08 / 1M input tokens, $0.02 / 1M cached input tokens and $0.20 / 1M output tokens, and states the price is the same on Liquid Console, OpenRouter and Vercel AI Gateway.

Source: official Liquid AI pricing · read MODELPRICEWATCH.COM · 2026-11-07

Price receipt

We read Liquid AI's own pricing page on and found LFM3-1.7B listed with a price on the same row — that read is where the number above comes from, recorded as a new model. We keep the page text we read; its content hash is 5f49bf0d2d.

Overview

Liquid AI's LFM3 text model, the first release of its LFM3 generation: a 1.73B dense model on a new hybrid architecture of gated short convolutions, sliding-window and global attention, post-trained for agent harnesses with native tool calling. It has a 256K-token context window and fits in about 1 GB of memory at 4-bit, so it also runs on phones and laptops. Liquid says it beats its own LFM2.5-2.6B with 35% fewer parameters. $0.08 input / $0.20 output per 1M tokens on Liquid's API.

Run it yourself

Deploy this open model on rented GPUs

Open weights mean you can self-host instead of paying per-token API prices. These platforms let you serve it on demand — often cheaper at scale.

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Capabilities

struck through = not supported
Input 1/4
Text ✓ Image Audio Video
Output
Text ✓
Features 4/9
Prompt caching ✓ Reasoning Coding Fast inference ✓ Long context ✓ Open weights ✓ Multimodal Web search Realtime

Benchmark performance

accuracy % · higher is better
GPQA Diamond vendor
63.37%
SWE-Bench Verified vendor
43.4%
LiveCodeBench vendor
73.46%
Humanity's Last Exam vendor
7.17%

Every per-benchmark score we hold for this model is reported by its own vendor, so none is counted toward an accuracy average or any ranking.

Source: Liquid AI LFM3 launch post (Humanity's Last Exam, no tools), Liquid AI LFM3 launch post (LiveCodeBench v6), Liquid AI LFM3 launch post (SWE-bench Verified, OpenCode scaffold) · updated · See full rankings →

Specifications

Provider
Liquid AI
Context window
262K tokens
Modality
text
Parameters
1.73B
Open source
Yes — open weights available
Released
Status
Current
Last updated
Tags
budgetopen-weightsagenticcachinglong-contextfast

Availability verified: — listed on Liquid AI's own page