GLM-5.3
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Average Ratings 1 Rating
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 is Z.ai’s advanced coding and agentic reasoning model built through scaled post-training on top of the GLM-5.2 base model. The release focuses on frontier coding, long-horizon software engineering, agent tasks, cyber evaluation, and reinforcement learning at scale. GLM-5.3 improves significantly over GLM-5.2 on complex coding benchmarks, real-world engineering environments, Terminal Bench 3.0, DeepSWE, Agents’ Last Exam, and Z.ai’s internal Code Bench. The model is trained on environments that resemble real professional work, including tasks involving codebases, infrastructure, documentation, compute clusters, experiments, bottleneck diagnosis, implementation, testing, and measurable optimization. Z.ai’s post-training stack includes IndexShare for efficient long-context processing, SAO for reinforcement learning on long-horizon tasks, and slime for large-scale asynchronous training. GLM-5.3 supports three thinking effort levels, including low, high, and max, with max recommended for coding tasks. The model also demonstrates emergent cyber capabilities across vulnerability discovery and exploitation benchmarks, prompting continued safety evaluation and hardening before weights are released. GLM-5.3 can be used through the GLM Coding Plan, ZCode, Claude Code, OpenCode, and other coding agent workflows. By combining stronger coding performance, long-horizon task execution, post-training scale, cyber evaluation, reasoning effort controls, and coding-agent integrations, GLM-5.3 supports advanced developer and research workflows.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Augment Code
Yes
C
Yes
C#
Yes
C++
Yes
Cherry Studio
Yes
Claw Code
Yes
Factory Droid
Yes
Go
Yes
HTML
Yes
Hermes Agent
Yes
Integrations
Augment Code
Yes
C
Yes
C#
Yes
C++
Yes
Cherry Studio
Yes
Claw Code
Yes
Factory Droid
Yes
Go
Yes
HTML
Yes
Hermes Agent
Yes
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
Free
Open source
Free Trial
No
Free Version
Yes
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
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
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
2023
Country
China
Website
z.ai/