Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    1,161 Ratings
    Company Website
  • LTX Reviews & Ratings
    182 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    41 Ratings
    Company Website
  • Zendesk Reviews & Ratings
    8,478 Ratings
    Company Website
  • ARGOS Identity Reviews & Ratings
    8 Ratings
    Company Website
  • Creatio Reviews & Ratings
    589 Ratings
    Company Website
  • Google Cloud Speech-to-Text Reviews & Ratings
    443 Ratings
    Company Website
  • Dialpad Support Reviews & Ratings
    1,607 Ratings
    Company Website
  • Pipefy Reviews & Ratings
    594 Ratings
    Company Website

What is Qwen3.5?

Qwen3.5 is an advanced open-weight multimodal AI system built to serve as the foundation for native digital agents capable of reasoning across text, images, and video. The primary release, Qwen3.5-397B-A17B, introduces a hybrid architecture that combines Gated DeltaNet linear attention with a sparse mixture-of-experts design, activating just 17 billion parameters per inference pass while maintaining a total parameter count of 397 billion. This selective activation dramatically improves decoding throughput and cost efficiency without sacrificing benchmark-level performance. Qwen3.5 demonstrates strong results across knowledge, multilingual reasoning, coding, STEM tasks, search agents, visual question answering, document understanding, and spatial intelligence benchmarks. The hosted Qwen3.5-Plus variant offers a default one-million-token context window and integrated tool usage such as web search and code interpretation for adaptive problem-solving. Expanded multilingual support now covers 201 languages and dialects, backed by a 250k vocabulary that enhances encoding and decoding efficiency across global use cases. The model is natively multimodal, using early fusion techniques and large-scale visual-text pretraining to outperform prior Qwen-VL systems in scientific reasoning and video analysis. Infrastructure innovations such as heterogeneous parallel training, FP8 precision pipelines, and disaggregated reinforcement learning frameworks enable near-text baseline throughput even with mixed multimodal inputs. Extensive reinforcement learning across diverse and generalized environments improves long-horizon planning, multi-turn interactions, and tool-augmented workflows. Designed for developers, researchers, and enterprises, Qwen3.5 supports scalable deployment through Alibaba Cloud Model Studio while paving the way toward persistent, economically aware, autonomous AI agents.

What is LFM3?

LFM3 showcases Liquid AI's collection of versatile, open-weight foundational models tailored for a diverse range of applications, spanning text, vision, audio, and multimodal functionalities. This array includes specialized versions for generating text, processing vision-language tasks, handling audio, addressing omni tasks, and facilitating decision-making processes. Developers can choose to download the model weights for customization through fine-tuning and deploy them on local edge devices, or they may opt for Liquid AI’s hosted API for seamless access. The potential uses for these models are extensive, including conversational agents, invoking tools, transcribing and synthesizing speech, interpreting images and videos, extracting and classifying documents, routing information, and enabling robotics capabilities. LFM3 is designed to meet the needs of developers, researchers, and organizations aiming to build customized AI solutions that prioritize adaptable deployment options, including support for on-premises inference. Additionally, these open-weight models are governed by Liquid AI’s LFM Open License, which stipulates the eligibility for commercial use and its specific terms based on the annual revenue of the organization. This level of flexibility empowers users to precisely customize their AI implementations to suit their specific requirements, thereby significantly enhancing the overall functionality and effectiveness of the models. Moreover, with the rapid advancements in AI, having such adaptable tools is crucial for staying competitive in the ever-evolving technological landscape.

Media

Media

Integrations Supported

Ollama
APIFree
Alibaba Cloud Model Studio
BaseRT
Claw Code
Microsoft-Decision-1
OpenClaw
Qwen
Qwen3.5-Plus
Tev1
Together AI
ZooClaw

Integrations Supported

Ollama
Hugging Face
Hugging Face Transformers
LM Studio
OpenRouter
Unsloth
Vercel AI Gateway
vLLM

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Open source
Free Version

Pricing Information

$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 Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwen.ai

Company Facts

Organization Name

Liquid AI

Date Founded

2023

Company Location

United States

Company Website

www.liquid.ai/blog/lfm3

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

AI Vision Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Open-Weight AI Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Multimodal Models

Not specified

Open-Weight AI Models

Not specified

Popular Alternatives

Popular Alternatives

Gemma 4 Reviews & Ratings

Gemma 4

Google
Claude Mythos Reviews & Ratings

Claude Mythos

Anthropic
LFM2.5 Reviews & Ratings

LFM2.5

Liquid AI
Claude Opus 4.5 Reviews & Ratings

Claude Opus 4.5

Anthropic
Qwen3.5 Reviews & Ratings

Qwen3.5

Alibaba
Inkling Reviews & Ratings

Inkling

Thinking Machines Lab