Liquid AI: LFM3-VL-2B
liquid/lfm3-vl-2b
Try LFM3-VL-2B for free in your browser, and add it to your app for free with Puter.js AI API.
Try it free Add to your app// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms", {
model: "liquid/lfm3-vl-2b"
}).then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms", {
model: "liquid/lfm3-vl-2b"
}).then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
Model Card
LFM3-VL-2B is a vision-language model from Liquid AI, released in October 2026 as part of the LFM3 family. It takes text and images as input and returns text. It is built on the LFM3-1.7B language model with a vision encoder Liquid AI developed in-house.
The model is aimed at document reading, chart and screen understanding, and object grounding. Liquid AI reports 96.7 on DocVQA, 92.7 on ChartQA, 86.3 on OCRBench v1, and 94.6 on ScreenSpot-v2 Desktop. Its average across 62 vision benchmarks is 71.4 with thinking enabled, up from 57.6 for LFM2.5-VL-3B. It also supports tool calling.
Use it for OCR, form and invoice extraction, chart questions, and UI screenshot analysis at a low per-token price. Liquid AI does not recommend it for coding, multi-turn conversation, or complex reasoning.
Context Window 128K
tokens
Max Output 128K
tokens
Input Cost $0.1
per million tokens
Output Cost $0.5
per million tokens
Input text, image
modalities
Tool Use Yes
Release Date Oct 27, 2026
Try LFM3-VL-2B for free
Try LFM3-VL-2B instantly in your browser.
This playground uses the Puter.js AI API — no API keys or setup required.
More AI Models From Liquid AI
LFM3-1.7B
LFM3-1.7B is a text model from Liquid AI with a 256K-token context window, built for local agents and specialized applications. It is the base of the LFM3 family released on October 27, 2026. Liquid AI reports that it outperforms LFM2.5-2.6B with 35% fewer parameters. It scores 96.66 on IFEval, 71.39 on BFCL V4 and 80.36 on ToolSandbox, the highest among the models compared, and beats Qwen3.5-9B on WebArena-Verified (38.42 vs. 28.94). It trails Qwen3.5-9B on GPQA Diamond (63.37 vs. 80.40) and RULER 128K (65.56 vs. 87.11). It suits tool-calling agents, instruction-following tasks and high-volume workloads. Larger models are a better fit for knowledge-heavy or agentic coding work.
ChatLFM2.5-24B-A2B
LFM2.5-24B-A2B is a sparse Mixture-of-Experts reasoning model from Liquid AI with 24B total parameters and about 2.45B active per token. It has a 131K context window and always produces a reasoning trace before answering. It is built for agents and tool calling. Liquid AI reports IFEval 96.75, IFBench 74.69, BFCLv4 65.01, ToolSandbox 80.71 and SWE-Bench Verified 51.00. It scores higher than Qwen3.6-35B-A3B and Gemma-4-26B-A4B-it on most agentic and instruction-following tests, but trails Qwen3.6-35B-A3B on coding (SWE-Bench Verified 66.20) and GPQA Diamond (83.69 vs. 74.42). It suits developers building tool-calling agents, especially with retrieval or web search. Liquid AI advises against using it alone for knowledge-heavy tasks or where direct, non-reasoning replies are needed.
Frequently Asked Questions
You can access LFM3-VL-2B by Liquid AI through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required. You can also use it with Python or cURL via Puter's OpenAI-compatible API.
LFM3-VL-2B is free to try with a Puter account. Every account includes a free AI allowance, and you can chat with it in the playground on this page. You can upgrade your account anytime for a larger allowance.
LFM3-VL-2B is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.
| Price per 1M tokens | |
|---|---|
| Input | $0.1 |
| Output | $0.5 |
LFM3-VL-2B was created by Liquid AI and released on Oct 27, 2026.
LFM3-VL-2B supports a context window of 128K tokens. For reference, that is roughly equivalent to 256 pages of text.
LFM3-VL-2B can generate up to 128K tokens in a single response.
LFM3-VL-2B accepts the following input types: text, image. It produces: text.
Yes, LFM3-VL-2B supports tool use (function calling), allowing it to interact with external tools, APIs, and data sources as part of its response flow.
Yes — the LFM3-VL-2B API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Add LFM3-VL-2B to your app for free
Developers can integrate LFM3-VL-2B for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.