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About

GLM-5.3-Flash is Z.ai’s natively multimodal model in the GLM-5 series (previously previewed as Ox Alpha), designed to deliver strong coding, agentic, visual, and knowledge-work performance at relatively low inference cost. It uses 320 billion total parameters with 18 billion active parameters, along with a hybrid architecture that combines sparse and linear attention to reduce the cost of long-context processing. The model supports context lengths of up to one million tokens and was trained on a 30-trillion-token multimodal corpus. GLM-5.3-Flash can reason across text, images, documents, interfaces, dashboards, and other visual information while using that feedback to refine its own outputs. Z.ai reports substantial gains over GLM-5.2 on coding and agentic benchmarks, including DeepSWE and AutomationBench, while approaching higher-cost frontier models on several evaluations.

About

Gemini 3 Pro is Google’s most advanced multimodal AI model, built for developers who want to bring ideas to life with intelligence, precision, and creativity. It delivers breakthrough performance across reasoning, coding, and multimodal understanding—surpassing Gemini 2.5 Pro in both speed and capability. The model excels in agentic workflows, enabling autonomous coding, debugging, and refactoring across entire projects with long-context awareness. With superior performance in image, video, and spatial reasoning, Gemini 3 Pro powers next-generation applications in development, robotics, XR, and document intelligence. Developers can access it through the Gemini API, Google AI Studio, or Gemini Enterprise Agent Platform, integrating seamlessly into existing tools and IDEs. Whether generating code, analyzing visuals, or building interactive apps from a single prompt, Gemini 3 Pro represents the future of intelligent, multimodal AI development.

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 engineers, agent builders, researchers, and organizations that need cost-efficient multimodal reasoning, long-context processing, advanced coding, visual analysis, and autonomous workflow capabilities

Audience

Developers, researchers, and enterprises seeking an AI model with advanced reasoning, coding automation, and multimodal capabilities for building next-generation intelligent applications and autonomous workflows

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

$0.15 per 1M tokens (input)
Input: $0.15 per 1M tokens
Output: $0.50 per 1M tokens
Cached input: $0.03 per 1M tokens
Free Version
Free Trial

Pricing

$19.99/month
$2 per million tokens (input)
$12 per million tokens (output)
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5

Reviews/Ratings

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

Pros & Cons from Real Users

Pros

  • What makes it exciting is that it seems built for the exact workloads developers care about right now: long-horizon coding, complex reasoning, big-context analysis, and agentic workflows. A million-token context window is especially useful if you want to drop in a large repo, long spec, research corpus, or messy project history and have the model reason across it.

Cons

  • I would treat it as something exciting to test, not something to blindly trust with sensitive work. Even the independent Ox Alpha site warns that messages are processed by the upstream model API, so I would keep secrets, private code, and customer data out of it until there is a clearer owner, model card, privacy policy, and production story.

Pros & Cons from Real Users

Pros

  • Just started using Gemini 3 Pro today when it dropped. Gemini 3 Pro is easily the most capable and well-rounded AI model I’ve used so far. Its state-of-the-art reasoning is immediately noticeable — responses are sharper, more contextual, and far more reliable than previous generations. The multimodal performance is impressive, handling text, images, code, and video with equal fluency. Whether generating complex visualizations, breaking down scientific papers, or building full interactive apps, it consistently delivers depth, accuracy, and clarity with minimal prompting.

Cons

  • Because the model is so powerful and feature-rich, some of its advanced capabilities — like Deep Think mode and long-horizon planning — feel like they’re still ramping up in the ecosystem. A few workflows rely on features rolling out across apps and third-party tools, so not everything is fully unified yet. These are early-version growing pains more than genuine shortcomings.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Z.ai
Founded: 2019
China
z.ai

Company Information

Google
Founded: 1998
United States
deepmind.google/models/gemini/

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Claude Fable 5

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MiniMax M3

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Gemini 4

Gemini 4

Google

Categories

Categories

Integrations

AiAssistWorks
Amp
C#
Charlie
Cheaper Inference
CometAPI
DeepSeek Harness
Dessix
Gemini CLI
GitHub
Google AI Studio
Google Opal
Imagen 4
Jules
Julia
Kotlin
OpenCode Go
Oz
TypeScript
Vivgrid

Integrations

AiAssistWorks
Amp
C#
Charlie
Cheaper Inference
CometAPI
DeepSeek Harness
Dessix
Gemini CLI
GitHub
Google AI Studio
Google Opal
Imagen 4
Jules
Julia
Kotlin
OpenCode Go
Oz
TypeScript
Vivgrid
Claim GLM-5.3-Flash and update features and information
Claim GLM-5.3-Flash and update features and information
Claim Gemini 3 Pro and update features and information
Claim Gemini 3 Pro and update features and information