Hy4

Hy4

Tencent
+
+

Related Products

  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • Google AI Studio
    30 Ratings
    Visit Website
  • Google Workspace
    69,107 Ratings
    Visit Website
  • Evertune
    1 Rating
    Visit Website
  • Gemini Credit Card
    2 Ratings
    Visit Website
  • AthenaHQ
    36 Ratings
    Visit Website
  • Google Cloud BigQuery
    2,023 Ratings
    Visit Website
  • LTX
    182 Ratings
    Visit Website
  • AuthorityTech
    2 Ratings
    Visit Website
  • HubSpot AEO
    47 Ratings
    Visit Website

About

Gemini 3.6 Flash is Google’s newest Flash model built for efficient, reliable, production-scale AI agents. The model improves on Gemini 3.5 Flash with stronger coding, knowledge work, multimodal performance, computer use, and agentic workflow execution. Gemini 3.6 Flash is designed to use fewer output tokens, take fewer reasoning steps, reduce unnecessary tool calls, and lower the cost of complex AI tasks. It supports document parsing, chart analysis, data analysis, report drafting, code migrations, visual understanding, and multi-agent orchestration. The model is available through the Gemini API, Google AI Studio, Android Studio, Google Antigravity, Gemini Enterprise Agent Platform, Gemini Enterprise app, and the Gemini app. Built for developers and enterprises, Gemini 3.6 Flash helps teams build faster, lower-cost, and more capable AI agents across coding, analysis, productivity, and multimodal workloads.

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, AI agent builders, enterprise AI teams, software engineering teams, data analysts, knowledge workers, product teams, and organizations that need efficient coding support, multimodal reasoning, computer use, document analysis, agentic workflows, lower token usage, and production-scale Gemini API access

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)
$1.50/1M input tokens and $7.50/1M output tokens
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 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 3.6 Flash feels like a really solid upgrade from a developer’s point of view. I like that Google is not just chasing “bigger model” headlines here, but focusing on the stuff that matters when you are actually building: coding quality, speed, cost, and token efficiency. The 17% fewer output tokens claim is a big deal for developers running agents, coding assistants, or high-volume workflows. When a model is being called over and over for planning, code edits, summaries, tool calls, and debugging loops, small efficiency gains can turn into real savings.

Cons

  • The main downside is that Flash still sounds like the efficient model, not the absolute top-end reasoning model. For really hard architecture work, long autonomous coding runs, or deep research-heavy tasks, I would still want to test it against the strongest frontier models before making it my default.

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

Alternatives

Grok 4.6

Grok 4.6

SpaceXAI

Alternatives

Grok 4.6

Grok 4.6

SpaceXAI
Claude Opus 5

Claude Opus 5

Anthropic
Claude Opus 5

Claude Opus 5

Anthropic
Claude Fable 5

Claude Fable 5

Anthropic
Claude Fable 5

Claude Fable 5

Anthropic
Gemini 4

Gemini 4

Google

Categories

Categories

Integrations

Agent Search on Gemini Enterprise Agent Platform
Android Studio
Dart
Factory Droid
Gemini Computer Use
Go
Google AI Mode
Google AI Plus
Google AI Ultra
HTML
Java
Kotlin
OfoxAI
OpenClaw
PHP
PowerShell
Replit
Ruby
Vercel AI Gateway
YAML

Integrations

Agent Search on Gemini Enterprise Agent Platform
Android Studio
Dart
Factory Droid
Gemini Computer Use
Go
Google AI Mode
Google AI Plus
Google AI Ultra
HTML
Java
Kotlin
OfoxAI
OpenClaw
PHP
PowerShell
Replit
Ruby
Vercel AI Gateway
YAML
Claim Gemini 3.6 Flash and update features and information
Claim Gemini 3.6 Flash and update features and information
Claim Hy4 and update features and information
Claim Hy4 and update features and information