Claude Opus 4

Claude Opus 4

Anthropic
GLM-5.3

GLM-5.3

Z.ai
+
+

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About

Claude Opus 4 represents a revolutionary leap in AI model performance, setting a new standard for coding and reasoning capabilities. As the world’s best coding model, Opus 4 excels in handling long-running, complex tasks, and agent workflows. With sustained performance that can run for hours, it outperforms all prior models—including the Sonnet series—making it ideal for demanding coding projects, research, and AI agent applications. It’s the model of choice for organizations looking to enhance their software engineering, streamline workflows, and improve productivity with remarkable precision. Now available on Anthropic API, Amazon Bedrock, and Gemini Enterprise Agent Platform, Opus 4 offers unparalleled support for coding, debugging, and collaborative agent tasks.

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

Software developers, engineers, research teams, and businesses looking to enhance their AI-driven development processes, automate complex workflows, and improve the efficiency and quality of their coding tasks with a high-performance AI model

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

$15 / 1 million tokens (input)
Input: $15 per 1 million tokens
Output: $75 per 1 million tokens
Free Version
Free Trial

Pricing

Free
Open source
Free Version
Free Trial

Reviews/Ratings

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

Reviews/Ratings

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

Pros & Cons from Real Users

Pros

  • I’ve only been using Claude Opus 4 for a short time, but it’s already clear that this is the best AI for coding and complex problem-solving. The model’s ability to handle long-running tasks with sustained performance is impressive. It excels in high-demand coding situations, consistently providing precise solutions. Its new memory capabilities are a game-changer, allowing it to remember important details and maintain coherence throughout tasks. The integration with tools like web search during extended thinking really takes it to the next level, enhancing its ability to solve tough problems.

Cons

  • Have not found any issues yet, but I've only been using it for a few hours.

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

Anthropic
Founded: 2021
United States
claude.ai

Company Information

Z.ai
Founded: 2023
China
z.ai/

Alternatives

Claude Sonnet 4

Claude Sonnet 4

Anthropic

Alternatives

Grok 4.6

Grok 4.6

SpaceXAI
Claude Opus 4.1

Claude Opus 4.1

Anthropic
Claude Opus 5

Claude Opus 5

Anthropic
DeepSeek V3.1

DeepSeek V3.1

DeepSeek
Claude Fable 5

Claude Fable 5

Anthropic
Claude Sonnet 5

Claude Sonnet 5

Anthropic
GLM-5

GLM-5

Z.ai
Claude Opus 4.5

Claude Opus 4.5

Anthropic
GLM-5.1

GLM-5.1

Z.ai

Categories

Categories

Integrations

C
C#
C++
CSS
Claude Code
Go
HTML
Java
JavaScript
Kotlin
PHP
Python
R
Rust
SQL
TypeScript
.NET
Node.js
RubyMine
StackAI

Integrations

C
C#
C++
CSS
Claude Code
Go
HTML
Java
JavaScript
Kotlin
PHP
Python
R
Rust
SQL
TypeScript
.NET
Node.js
RubyMine
StackAI
Claim Claude Opus 4 and update features and information
Claim Claude Opus 4 and update features and information
Claim GLM-5.3 and update features and information
Claim GLM-5.3 and update features and information