Hy4

Hy4

Tencent
+
+

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About

Gemini 3.5 Flash is Google’s latest frontier AI model designed to combine advanced intelligence, high-speed performance, and agentic workflow execution for developers, enterprises, and everyday users. Built as part of the Gemini 3.5 family, the model excels at coding, long-horizon reasoning, multimodal understanding, and complex multi-step automation tasks while delivering significantly faster output speeds than many competing frontier models. Gemini 3.5 Flash powers AI agents capable of planning, executing, and managing workflows such as application development, codebase maintenance, data analysis, and financial document preparation through the Antigravity harness. The model also supports rich multimodal experiences by generating interactive graphics, dynamic web interfaces, animations, and advanced visual content. Gemini 3.5 Flash is integrated across Google products including the Gemini app, Google Search AI Mode, Google Antigravity, Google AI Studio, Android Studio, and more.

About

Hy4 preview is a new-generation open source Mixture-of-Experts flagship model built for real-world productivity tasks across software engineering, office work, game development, and scientific research. The model contains 770B total parameters with 49B activated per token and supports a 1M-token context window, giving it the capacity to work through large codebases, extensive document collections, and long multi-step tasks. Its 78-layer architecture combines Gated DeepSeek Sparse Attention with IndexCache for cross-layer sparse index reuse and identity Hyper-Connections to expand information flow between layers. A native Multi-Token Prediction layer is included for speculative decoding. Hy4 preview is designed to understand, plan, debug, and verify long-horizon engineering tasks, with additional gains in front-end visual quality and interaction design.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers, enterprises, AI engineers, business teams, and organizations seeking high-performance multimodal AI models for coding, automation, agentic workflows, and intelligent application development

Audience

Developers, researchers, and technical professionals seeking an AI model for coding, document work, game development, scientific reasoning, and complex productivity tasks

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$1.50 per 1M tokens (input)
Input: $1.50 per 1 million tokens
Output: $9.00 per 1 million tokens
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

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

Pros & Cons from Real Users

Pros

  • Gemini 3.5 Flash is seriously impressive when it comes to speed. What stands out most is that it delivers high-end AI performance without feeling slow or heavy. Responses are fast, coding help is excellent, and it handles complex multi-step tasks far better than previous Gemini models. For someone who uses AI constantly throughout the workday, that balance of speed and intelligence makes a huge difference. I’ve also been impressed by how capable it is with agentic workflows. Whether it’s organizing research, generating documents, helping with coding, or handling long prompts with lots of context, 3.5 Flash feels much more reliable and focused. It’s especially useful inside the Gemini app and Workspace tools because it can actually help complete tasks instead of just answering questions. The multimodal improvements are another huge plus. The model handles text, graphics, UI generation, and interactive content much better than before. It feels more polished and more practical for real-world work, especially for developers, analysts, and teams handling large projects.

Cons

  • Even though the model is incredibly fast, there are still occasional moments where outputs need refinement, especially for highly technical or nuanced requests. I still review important drafts, code, or generated workflows before fully relying on them.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
Founded: 1998
United States
gemini.google.com

Company Information

Tencent
Founded: 1998
China
hy.tencent.ai/research/hy4-preview

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Categories

Categories

Integrations

.NET
Agent Search on Gemini Enterprise Agent Platform
Bind AI
CSS
Factory Droid
Gemini 3.6 Flash
Gemini Enterprise
Google AI Mode
Google AI Plus
Google AI Studio
Java
JavaScript
Kubernetes
OpenClaw
Replit
SQL
Scala
Swift
Vercel AI Gateway
XML

Integrations

.NET
Agent Search on Gemini Enterprise Agent Platform
Bind AI
CSS
Factory Droid
Gemini 3.6 Flash
Gemini Enterprise
Google AI Mode
Google AI Plus
Google AI Studio
Java
JavaScript
Kubernetes
OpenClaw
Replit
SQL
Scala
Swift
Vercel AI Gateway
XML
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