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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Holo3.1 represents H Company’s advanced suite of swift and localized computer-use agents designed for seamless operation across web, desktop, and mobile platforms, while ensuring better integration within various agent frameworks and deployment targets. Drawing from the Qwen family, Holo3.1 significantly enhances reliability in the diverse environments where these agents are utilized, tackling the distribution changes that arise on mobile devices, alternative agent frameworks, and varied execution environments. The latest version broadens Holo3’s functionality, going beyond mere browser and desktop control, with notable advancements in mobile automation; for instance, the performance in AndroidWorld has surged from 67% to 79.3% for the 35B-A3B model, while the smaller 4B and 9B variants have also shown improvements from 58% to 71%. In addition, Holo3.1 brings forth native support for function-calling protocols alongside structured JSON outputs, which aids teams in integrating the model into third-party agent ecosystems, achieving almost identical performance between function-calling and native execution. This release marks a significant step in enhancing the versatility and effectiveness of computer-use agents across multiple platforms.

Description

Qwen3.5 represents a major advancement in open-weight multimodal AI models, engineered to function as a native vision-language agent system. Its flagship model, Qwen3.5-397B-A17B, leverages a hybrid architecture that fuses Gated DeltaNet linear attention with a high-sparsity mixture-of-experts framework, allowing only 17 billion parameters to activate during inference for improved speed and cost efficiency. Despite its sparse activation, the full 397-billion-parameter model achieves competitive performance across reasoning, coding, multilingual benchmarks, and complex agent evaluations. The hosted Qwen3.5-Plus version supports a one-million-token context window and includes built-in tool use for search, code interpretation, and adaptive reasoning. The model significantly expands multilingual coverage to 201 languages and dialects while improving encoding efficiency with a larger vocabulary. Native multimodal training enables strong performance in image understanding, video processing, document analysis, and spatial reasoning tasks. Its infrastructure includes FP8 precision pipelines and heterogeneous parallelism to boost throughput and reduce memory consumption. Reinforcement learning at scale enhances multi-step planning and general agent behavior across text and multimodal environments. Overall, Qwen3.5 positions itself as a high-efficiency foundation for autonomous digital agents capable of reasoning, searching, coding, and interacting with complex environments.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

APIFree
Alibaba Cloud Model Studio
Claw Code
JSON
Ollama
OpenClaw
Qwen
Qwen3.5-Plus
Together AI
ZooClaw

Integrations

APIFree
Alibaba Cloud Model Studio
Claw Code
JSON
Ollama
OpenClaw
Qwen
Qwen3.5-Plus
Together AI
ZooClaw

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

H Company

Country

France

Website

hcompany.ai/holo3.1

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwen.ai

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