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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 4 Flash, reportedly codenamed Hydrogen, is an anticipated multimodal artificial intelligence model in Google DeepMind's Gemini family. The model is expected to emphasize fast response times, efficient inference, and advanced reasoning for everyday AI applications. Potential capabilities include natural language understanding, code generation, document analysis, visual reasoning, and automated task execution. Based on Google's existing Flash models, Hydrogen may support tool calling, structured outputs, long-context processing, and integration with external applications. Potential applications include AI assistants, customer service automation, software development, content generation, and enterprise productivity workflows. Google has not officially confirmed the Hydrogen codename, model specifications, pricing, or release date.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

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

Software developers, AI engineers, application developers, SaaS companies, enterprise IT teams, automation specialists, researchers, content creators, and businesses interested in fast multimodal AI processing, cost-efficient inference, conversational AI, coding assistance, and automated workflows

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

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 Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

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

  • 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.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Z.ai
Founded: 2019
China
z.ai

Company Information

Google
Founded: 1998
United States
gemini.com

Alternatives

Alternatives

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GPT-6.1 Sol

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MiniMax M3

MiniMax M3

MiniMax
Qwen3.5

Qwen3.5

Alibaba

Categories

Categories

AI Coding Models Supported
AI Models Supported
AI Vision Models Supported
Foundation Models Supported
Multimodal Models Supported

Integrations

Cheaper Inference Supported
Hermes Agent Supported
OpenClaw Supported
.NET Not Supported
CSS Not Supported
Devin Desktop Not Supported
Factory Droid Not Supported
GLM Coding Plan Supported
Gemini 3.5 Flash Cyber Not Supported
Gemini 3.8 Live Not Supported
Gemini Enterprise Not Supported
Gemini Managed Agents Not Supported
Google AI Overviews Not Supported
Google AI Ultra Not Supported
JetBrains Junie Not Supported
Offloop Not Supported
Swift Not Supported
Wikis.ai Not Supported
YAML Not Supported
Z.ai Supported

Integrations

Cheaper Inference Supported
Hermes Agent Supported
OpenClaw Supported
.NET Supported
CSS Supported
Devin Desktop Supported
Factory Droid Supported
GLM Coding Plan Not Supported
Gemini 3.5 Flash Cyber Supported
Gemini 3.8 Live Supported
Gemini Enterprise Supported
Gemini Managed Agents Supported
Google AI Overviews Supported
Google AI Ultra Supported
JetBrains Junie Supported
Offloop Supported
Swift Supported
Wikis.ai Supported
YAML Supported
Z.ai Not Supported
Claim GLM-5.3-Flash and update features and information
Claim GLM-5.3-Flash and update features and information
Claim Gemini 4 Flash and update features and information
Claim Gemini 4 Flash and update features and information