GLM-5.3-Flash Reviews

GLM-5.3-Flash

5.0 out of 5 stars

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features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Average Ratings 1 Rating

Total 5 out of 5 stars
ease 5 out of 5 stars

Description

Claude Mythos 5.2 is a frontier artificial intelligence model developed by Anthropic for advanced cybersecurity, biological research, scientific discovery, and autonomous technical workflows. The model uses the same underlying architecture as Claude Fable 5.2 while providing verified researchers with access to specialized capabilities in cybersecurity and life sciences. Its cybersecurity capabilities support vulnerability discovery, source code security analysis, exploit validation, penetration testing research, and investigation of complex software weaknesses in authorized environments. Claude Mythos 5.2 can independently identify previously documented vulnerabilities in older versions of software projects and evaluate potential security issues across large codebases. Its life sciences capabilities support protein design, biological research, scientific reasoning, and computational analysis for authorized research organizations. The model also provides advanced software engineering, mathematical reasoning, visual understanding, and autonomous research capabilities for demanding technical projects. Anthropic reports benchmark results of 76.3% on CyScenarioBench, 89.6% on CVE Rediscovery, 85.1% on de novo protein binder design, and 75.3% on Terminal-Bench-Science 0.1. Claude Mythos 5.2 provides up to 30% faster output generation than Mythos 5.1, with an optional fast mode offering up to 2.5 times higher generation speed. The model is available to vetted organizations through Anthropic's Cyber Verification and Life Sciences Verification Programs, with usage-based API pricing starting at $8 per million input tokens and $40 per million output tokens.

Description

GLM-5.3-Flash is a multimodal foundation model from Z.ai built for high-efficiency reasoning, coding, agents, and visual understanding. The model contains 320 billion parameters in total but activates only 18 billion parameters during inference, helping reduce compute requirements. Its architecture combines linear attention with sparse attention so it can efficiently handle both local dependencies and relevant information spread across very long contexts. Z.ai also introduced IndexPool to reduce the memory and latency overhead associated with long-context retrieval at context lengths reaching one million tokens. The model was pretrained on a 30-trillion-token multimodal dataset that incorporates both textual and visual information. GLM-5.3-Flash is designed for software engineering tasks, autonomous workflows, frontend development, computer use, document analysis, and other professional workloads that benefit from visual reasoning. Its visual coding capabilities allow it to inspect rendered interfaces, identify layout or interaction problems, and use those observations to revise its work. Benchmark results published by Z.ai show that it improves substantially over GLM-5.2 on multiple coding and agentic tests while remaining competitive with more expensive frontier models. GLM-5.3-Flash can be accessed through Z.ai services and is also available as downloadable model weights for deployment through supported open inference frameworks.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Cheaper Inference Yes 
Claude Code Yes 
Hermes Agent Yes 
OpenClaw Yes 
Pi Agent Yes 
Anything Yes 
Buda Yes 
C Yes 
Claude Design Yes 
Dessix Yes 
Java Yes 
Muse Yes 
OpenCode Go No 
Oxen.ai Yes 
Replit Yes 
Solidity Yes 
Springhub Yes 
Swift Yes 
Verdent Yes 
Visual Studio Code Yes 

Integrations

Cheaper Inference Yes 
Claude Code Yes 
Hermes Agent Yes 
OpenClaw Yes 
Pi Agent Yes 
Anything No 
Buda No 
C No 
Claude Design No 
Dessix No 
Java No 
Muse No 
OpenCode Go Yes 
Oxen.ai No 
Replit No 
Solidity No 
Springhub No 
Swift No 
Verdent No 
Visual Studio Code No 

Pricing Details

$8 per 1M tokens (input)
$8 per million input tokens and $40 per million output tokens
Free Trial No 
Free Version No 

Pricing Details

$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 Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Anthropic

Founded

2021

Country

United States

Website

claude.ai

Vendor Details

Company Name

Z.ai

Founded

2019

Country

China

Website

z.ai

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