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What is Liquid AI?

At Liquid, our goal is to create sophisticated AI systems capable of tackling a wide range of challenges, allowing users to effectively build, use, and oversee their own AI solutions. This dedication ensures the integration of AI into all businesses is done in a seamless, reliable, and efficient manner. Looking ahead, Liquid seeks to design and deploy state-of-the-art AI solutions that are available to everyone, promoting inclusivity in technology. Our methodology emphasizes the development of transparent models in organizations that prioritize openness and clarity. We hold the conviction that such transparency cultivates trust and spurs innovation within the realm of AI, ultimately benefiting society as a whole. By fostering an environment of collaboration and shared knowledge, we believe we can unlock the full potential of AI for diverse applications.

What is DeepSeek-V3.2-Speciale?

DeepSeek-V3.2-Speciale represents the pinnacle of DeepSeek’s open-source reasoning models, engineered to deliver elite performance on complex analytical tasks. It introduces DeepSeek Sparse Attention (DSA), a highly efficient long-context attention design that reduces the computational burden while maintaining deep comprehension and logical consistency. The model is trained with an expanded reinforcement learning framework capable of leveraging massive post-training compute, enabling performance not only comparable to GPT-5 but demonstrably surpassing it in internal tests. Its reasoning capabilities have been validated through gold-winning solutions across major global competitions, including IMO 2025 and IOI 2025, with official submissions released for transparency and peer assessment. DeepSeek-V3.2-Speciale is intentionally designed without tool-calling features, focusing every parameter on pure reasoning, multi-step logic, and structured problem solving. It introduces a reworked chat template featuring explicit thought-delimited sections and a structured message format optimized for agentic-style reasoning workflows. The repository includes Python-based utilities for encoding and parsing messages, illustrating how to format prompts correctly for the model. Supporting multiple tensor types (BF16, FP32, FP8_E4M3), it is built for both research experimentation and high-performance local deployment. Users are encouraged to use temperature = 1.0 and top_p = 0.95 for best results when running the model locally. With its open MIT license and transparent development process, DeepSeek-V3.2-Speciale stands as a breakthrough option for anyone requiring industry-leading reasoning capacity in an open LLM.

Media

Media

Integrations Supported

LEAP
LFM-40B
Liquid Apollo
Nativ
SF Compute

Integrations Supported

DeepSeek
Hugging Face

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Free
Open source
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Liquid AI

Date Founded

2023

Company Location

United States

Company Website

www.liquid.ai/

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

deepseek.com

Categories and Features

AI Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Categories and Features

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

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