GLM-5.3

GLM-5.3

Z.ai
+
+

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About

DeepSeek-V4-Flash is a high-efficiency Mixture-of-Experts (MoE) language model designed for fast, scalable reasoning and text generation. It features 284 billion total parameters with 13 billion activated parameters, delivering strong performance while optimizing computational cost. The model supports an extensive context window of up to one million tokens, enabling it to process large documents and complex workflows with ease. Its hybrid attention architecture enhances long-context efficiency by reducing memory and compute requirements. Trained on over 32 trillion tokens, DeepSeek-V4-Flash demonstrates solid capabilities across knowledge, reasoning, and coding tasks. It is designed for scenarios where speed and efficiency are critical, offering a balance between performance and resource usage. The model also supports multiple reasoning modes, allowing users to adjust between faster outputs and deeper analysis.

About

GLM-5.3 is Z.ai’s frontier coding model designed for complex software engineering, long-horizon agent tasks, and advanced post-training research. The model uses the same base model as GLM-5.2, with improvements coming from scaled post-training across more environments, more diverse tasks, and larger compute investment. GLM-5.3 delivers stronger coding performance, better task ownership, improved benchmark results, and greater efficiency across realistic development workflows. It is built to handle complex coding tasks, production-style engineering work, research environments, automation tasks, and agentic workflows that require multi-step execution. The model also shows emergent cyber capabilities in vulnerability discovery and exploitation-chain reasoning, with safety evaluation and hardening planned before open-weight release.

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, startups, and enterprises looking for a cost-efficient, scalable language model for fast inference, long-context processing, and real-world AI applications

Audience

Software engineers, coding agent builders, AI researchers, ML infrastructure teams, security researchers, developer tool teams, automation teams, technical leaders, and organizations that need frontier coding models, long-horizon reasoning, production-style software engineering, benchmark-driven model evaluation, reinforcement learning research, coding-agent integrations, reasoning effort controls, ZCode workflows, and advanced technical task automation

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

$0.14 per 1M tokens (input)
DeepSeek V4 Flash API pricing per 1 million tokens is $0.14 for regular cache-miss inputs, $0.0028 for cache-hit inputs, and $0.28 for outputs.
Free Version
Free Trial

Pricing

Free
Open source
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
features 4.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5

Pros & Cons from Real Users

Pros

  • DeepSeek-V4-Flash is really compelling because it feels built for developers who care about performance and cost at the same time. A 1M-token context window, open weights, and a low active-parameter MoE setup make it interesting for repo analysis, long-context coding, document-heavy agents, and high-volume automation.

Cons

  • I would still test it carefully before trusting it in production. Cheap inference is great, but coding agents need reliability, strong tool use, clean multi-file edits, good recovery from mistakes, and consistent behavior over long tasks.

Pros & Cons from Real Users

Pros

  • The thing I like most is that GLM-5.3 feels aimed at serious engineering work, not casual prompting. It is built around coding agents, long-running software tasks, debugging, and the kind of multi-step execution that actually matters when you are working inside real repos. The post-training jump is also interesting. Z.ai is not just talking about a bigger model; it is pushing the idea that better training on agentic coding and cyber workflows can make the model more useful in practice.

Cons

  • The cybersecurity angle is impressive, but it is also where I would be most cautious. Strong vulnerability discovery and cyber reasoning can be useful for defense, audits, and secure engineering, but I would want very clear controls around how it is used.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

DeepSeek
Founded: 2023
China
deepseek.com

Company Information

Z.ai
Founded: 2023
China
z.ai/

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DeepSeek-V4

DeepSeek-V4

DeepSeek

Categories

Categories

Integrations

Cline
ClinePass
OpenClaw
Together AI
Vercel AI Gateway
Augment Code
C#
Cherry Studio
Claw Code
Dessix
JavaScript
JetBrains Junie
Kilo Code
Oxlo.ai
R
Reasonix
Shiori
TypeScript
Yonoo
Z.ai

Integrations

Cline
ClinePass
OpenClaw
Together AI
Vercel AI Gateway
Augment Code
C#
Cherry Studio
Claw Code
Dessix
JavaScript
JetBrains Junie
Kilo Code
Oxlo.ai
R
Reasonix
Shiori
TypeScript
Yonoo
Z.ai
Claim DeepSeek-V4-Flash and update features and information
Claim DeepSeek-V4-Flash and update features and information
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Claim GLM-5.3 and update features and information