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What is Holo3.1?

Holo3.1 is H Company’s cutting-edge collection of rapid and localized computer-use agents that operate smoothly across web, desktop, and mobile environments, while also improving integration within various agent frameworks and deployment targets. Building on the Qwen family, Holo3.1 greatly boosts reliability across the different settings where these agents are applied, addressing distribution changes that occur on mobile devices, various agent frameworks, and diverse execution environments. The latest iteration expands Holo3’s capabilities, transcending simple browser and desktop management, with significant progress noted in mobile automation; for example, the performance of the 35B-A3B model in AndroidWorld has increased from 67% to 79.3%, and the smaller 4B and 9B models have also improved from 58% to 71%. Moreover, Holo3.1 introduces built-in support for function-calling protocols and structured JSON outputs, facilitating teams' integration of the model into third-party agent ecosystems while maintaining nearly equivalent performance between function-calling and native execution. This latest update signifies a crucial advancement in enhancing the adaptability and efficiency of computer-use agents across a variety of platforms, paving the way for future innovations in the field. As such, Holo3.1 not only sets a new standard for performance but also empowers users to leverage the full potential of their technological environments.

What is Gemini 3.5 Flash-Lite?

Gemini 3.5 Flash-Lite is distinguished as the fastest model in Google's Gemini 3.5 series, designed specifically for low-latency tasks and enhancing developer workflows that require high throughput, such as agentic search, document processing, coding, and comprehensive data analysis. It features an impressive output rate of 350 tokens per second and represents a substantial upgrade from previous Flash-Lite versions in both quality and agentic functionalities. Developers can tailor the model's cognitive level based on the task requirements: minimal or low thinking is ideal for quick processing of large datasets, while higher thinking levels are suited for more complex, multi-step workflows that involve subagents. Additionally, the model comes with integrated computational abilities, allowing it to function seamlessly in various digital environments across supported platforms. Gemini 3.5 Flash-Lite also shines in coding tasks, managing lengthy contexts, and carrying out real-world applications, consistently surpassing the performance of its predecessor, Gemini 3.1 Flash-Lite, in crucial evaluations and even outdoing Gemini 3 Flash in numerous benchmarks related to agentic capabilities and software development. This remarkable performance demonstrates its potential to revolutionize the way developers tackle intricate workflows and handle data-heavy tasks, making it a game-changer in the field. As developers continue to explore its capabilities, they are likely to uncover new applications that further enhance their productivity.

Media

Media

Integrations Supported

.NET
Agent Search on Gemini Enterprise Agent Platform
Bind AI
C#
CSS
Devin Desktop
Gemini 3 Flash
Gemini 3.6 Flash
Gemini Enterprise Agent Platform
Gemini Managed Agents
Go
Google
Google AI Mode
Google AI Overviews
OfoxAI
OpenClaw
R
Ruby
Rust
Vercel AI Gateway

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0.30 per 1M input tokens
$0.30/1M input tokens and $2.50/1M output tokens

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

H Company

Company Location

France

Company Website

hcompany.ai/holo3.1

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.google.com

Categories and Features

AI Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Vision Models

Not specified

Large Language Models

Not specified

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