LFM3

LFM3

Liquid AI
Qwen3.6-27B

Qwen3.6-27B

Alibaba
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About

LFM3 is Liquid AI’s family of compact, open-weight foundation models for text, vision, audio, and multimodal tasks. The release includes text-generation, vision-language, audio, omni, and decision-model variants. Developers can download the model weights, adapt supported models through fine-tuning, and run them locally on edge hardware or access them through Liquid AI’s hosted API. Use cases include conversational assistants, tool calling, speech transcription and generation, image and video understanding, document extraction, classification, routing, and robotics applications. LFM3 is intended for developers, researchers, and organizations building specialized AI applications that need flexible deployment choices, including local inference. Open-weight models are available under Liquid AI’s LFM Open License; commercial eligibility and terms depend on an organization’s annual revenue.

About

Qwen3.6-27B is a dense, open source multimodal language model in the Qwen3.6 series, designed to deliver flagship-level performance in coding, reasoning, and agent-based workflows while maintaining a relatively efficient parameter size of 27 billion. It is positioned as a high-performance general model that “punches above its weight,” achieving results competitive with or superior to significantly larger models on key benchmarks, particularly in agentic coding tasks. It supports both thinking and non-thinking modes, allowing it to dynamically balance deep reasoning with fast responses depending on the task, and integrates capabilities across text and multimodal inputs such as images and video. Built as part of the Qwen3.6 family, the model emphasizes real-world usability, stability, and developer productivity, incorporating improvements driven by community feedback and practical deployment needs.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Supported
iPad Supported
Android Supported
Chromebook Not Supported

Audience

Developers, AI researchers, and organizations building specialized AI applications, including applications using local or edge inference.

Audience

Developers and AI engineers who need a powerful, open source model capable of advanced coding, reasoning, and agent workflows

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$0.08/MTok
LFM3-1.7B API usage is $0.08 per million input tokens, $0.02 per million cached input tokens, and $0.20 per million output tokens. New organizations receive $2 in API credit. Open-weight models can be used in production free by developers, researchers, nonprofits, and businesses with less than $10 million in annual revenue; businesses above that threshold require a paid license.
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
features 4.0 / 5

Pros & Cons from Real Users

Pros

  • Qwen3.6-27B is exciting because it packs a lot of capability into a model size that still feels realistic for serious builders. It is open-weight, dense, multimodal, and clearly tuned for coding-heavy agent workflows. The agentic coding focus is the biggest win. Qwen specifically calls out integration with coding assistants like OpenClaw, Claude Code, and Qwen Code, which makes it feel useful for real development workflows instead of just benchmark screenshots. I also like the long-context support. For coding agents, repo analysis, technical docs, visual debugging, and multi-step reasoning, having more room for context makes a real difference.

Cons

  • It is still a 27B model, so local use is not effortless. You still need the right hardware, quantization, serving setup, and patience if you want good speed.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Liquid AI
Founded: 2023
United States
www.liquid.ai/blog/lfm3

Company Information

Alibaba
Founded: 1999
China
qwen.ai/blog

Alternatives

Gemma 4

Gemma 4

Google

Alternatives

LFM2.5

LFM2.5

Liquid AI
Bonsai 27B

Bonsai 27B

PrismML
Qwen3.5

Qwen3.5

Alibaba
Inkling

Inkling

Thinking Machines Lab
Qwen3.5

Qwen3.5

Alibaba
Qwen3.8-27B

Qwen3.8-27B

Alibaba
Qwen3.6

Qwen3.6

Alibaba

Categories

AI Coding Models Supported
AI Models Supported
Multimodal Models Supported

Categories

AI Coding Models Supported
AI Models Supported
AI Vision Models Supported

Integrations

Hugging Face Supported
Ollama Supported
Alibaba Cloud Model Studio Not Supported
Cheaper Inference Not Supported
Hugging Face Transformers Supported
LM Studio Supported
ModelScope Not Supported
OpenClaw Not Supported
OpenRouter Supported
Python Not Supported
Qwen Not Supported
Qwen Studio Not Supported
Qwen3.6 Not Supported
Unsloth Supported
Vercel AI Gateway Supported
vLLM Supported

Integrations

Hugging Face Supported
Ollama Supported
Alibaba Cloud Model Studio Supported
Cheaper Inference Supported
Hugging Face Transformers Not Supported
LM Studio Not Supported
ModelScope Supported
OpenClaw Supported
OpenRouter Not Supported
Python Supported
Qwen Supported
Qwen Studio Supported
Qwen3.6 Supported
Unsloth Not Supported
Vercel AI Gateway Not Supported
vLLM Not Supported
Claim LFM3 and update features and information
Claim LFM3 and update features and information
Claim Qwen3.6-27B and update features and information
Claim Qwen3.6-27B and update features and information