Ratings and Reviews 1 Rating

Ratings and Reviews 1 Rating

Total
ease
features
design
support

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    984 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    30 Ratings
    Company Website
  • Google Workspace Reviews & Ratings
    68,997 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    2,017 Ratings
    Company Website
  • Evertune Reviews & Ratings
    1 Rating
    Company Website
  • Gemini Credit Card Reviews & Ratings
    2 Ratings
    Company Website
  • AthenaHQ Reviews & Ratings
    36 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • AuthorityTech Reviews & Ratings
    2 Ratings
    Company Website
  • HubSpot AEO Reviews & Ratings
    47 Ratings
    Company Website

What is Gemini 3.6 Flash?

Gemini 3.6 Flash is a new Google Gemini model designed for efficient, high-quality AI agents and production workloads. It builds on Gemini 3.5 Flash with improvements in coding, knowledge work, multimodal understanding, computer use, and complex workflow execution. Google positions Gemini 3.6 Flash as the workhorse model in the Flash series, optimized for the balance of quality, speed, reliability, and cost. The model is designed to reduce verbosity, use fewer output tokens, take fewer reasoning steps, and require fewer tool calls during multi-step tasks. Google says Gemini 3.6 Flash uses 17% fewer output tokens than 3.5 Flash on the Artificial Analysis Index and can reduce output usage even more on some coding benchmarks. It is priced at $1.50 per 1 million input tokens and $7.50 per 1 million output tokens, giving developers a lower-cost option for agentic workflows than 3.5 Flash. Gemini 3.6 Flash shows gains in benchmarks for software engineering, ML research, computer use, and knowledge work. It can support use cases such as code migration, document parsing, financial data analysis, chart interpretation, report drafting, visual interface building, and multi-agent orchestration. Built-in computer use is available through the Gemini API and Gemini Enterprise, helping agents interact with digital tools more reliably. Google also says the model ships with enhanced Frontier Safety safeguards for CBRN and cyber offense misuse while minimizing refusals for beneficial use cases. By combining lower cost, stronger task performance, multimodal understanding, built-in computer use, and safety improvements, Gemini 3.6 Flash is built for teams that need scalable AI agents across software, enterprise, and productivity workflows.

What is GLM-5.2?

GLM-5.2 is a powerful AI foundation model created to help developers and organizations handle advanced reasoning, coding, automation, and agent-based workflows. It is designed for complex system engineering tasks where an AI model needs to understand goals, follow multi-step instructions, and support technical execution. The model can be used for software development, code analysis, documentation support, research assistance, workflow automation, and intelligent application development. GLM-5.2 is especially valuable for long-context tasks because it can work with large amounts of information across extended prompts, files, or conversations. This makes it useful for reviewing large codebases, summarizing technical materials, generating structured outputs, and supporting detailed problem-solving. Its mixture-of-experts architecture helps deliver strong performance while using active model resources more efficiently. Development teams can use GLM-5.2 to improve productivity by reducing repetitive work and accelerating technical decision-making. Businesses can also use it to power AI assistants, internal automation tools, research platforms, and customer-facing intelligent systems. The model’s focus on agentic capabilities allows it to support workflows that require planning, reasoning, and task completion rather than basic response generation. GLM-5.2 can help organizations build smarter products while giving technical teams a more capable AI partner for demanding projects. It is a strong option for companies that want scalable AI support across engineering, research, automation, and digital transformation initiatives.

Media

Media

No images available

Integrations Supported

C
C#
C++
Cursor
Factory Droid
Go
HTML
Java
JavaScript
JetBrains Junie
Kotlin
OpenClaw
PHP
Python
R
Rust
SQL
Swift
TypeScript
Vercel AI Gateway

Integrations Supported

C
C#
C++
Cursor
Factory Droid
Go
HTML
Java
JavaScript
JetBrains Junie
Kotlin
OpenClaw
PHP
Python
R
Rust
SQL
Swift
TypeScript
Vercel AI Gateway

API Availability

Has API

API Availability

Has API

Pricing Information

$1.50 per 1M tokens (input)
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

gemini.google.com

Company Facts

Organization Name

Zhipu AI

Date Founded

2023

Company Location

China

Company Website

z.ai/

Popular Alternatives

Claude Fable 5 Reviews & Ratings

Claude Fable 5

Anthropic

Popular Alternatives

Big Pickle Reviews & Ratings

Big Pickle

OpenCode Zen
Claude Mythos 5 Reviews & Ratings

Claude Mythos 5

Anthropic
Bonsai 27B Reviews & Ratings

Bonsai 27B

PrismML
Claude Opus 4.8 Reviews & Ratings

Claude Opus 4.8

Anthropic
Claude Fable 5 Reviews & Ratings

Claude Fable 5

Anthropic
Hy3 Reviews & Ratings

Hy3

Tencent