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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.
Description
GPT-5.5-Cyber is a specialized cybersecurity model built for advanced defenders who need deeper capability and more flexible support for authorized security work. The updated model is designed to reduce unnecessary refusals while improving performance on vulnerability discovery, validation, patch development, and remediation workflows. It can analyze large codebases, identify security-relevant components, determine whether vulnerable code is reachable, validate likely issues in controlled environments, and help prepare evidence for human review. GPT-5.5-Cyber is intended to move defenders through the full remediation process, from finding a vulnerability to testing and supporting a fix. The model retains the general-purpose intelligence of GPT-5.5 while adding stronger cyber-specific performance for complex, long-running tasks. Benchmark results show higher scores than GPT-5.5 on CyberGym, ExploitGym, and SEC-bench Pro, including stronger single-model performance in reproducing known vulnerabilities and evaluating complex software targets. GPT-5.5-Cyber is positioned for verified defenders whose work requires advanced cyber capabilities and more permissive behavior than standard access models. Its deployment approach includes stronger verification, monitoring, scoped controls, and review to support responsible use. GPT-5.5-Cyber helps security teams identify actionable issues, reduce noise, validate findings, and land safer fixes across demanding software security workflows.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
C
Yes
Cherry Studio
Yes
Cursor
Yes
Dessix
Yes
GPT-5.5
No
GPT-5.6 Luna
No
GPT-5.6 Sol Ultrafast
No
GPT-6 Luna
No
Go
Yes
Java
Yes
Integrations
C
No
Cherry Studio
No
Cursor
No
Dessix
No
GPT-5.5
Yes
GPT-5.6 Luna
Yes
GPT-5.6 Sol Ultrafast
Yes
GPT-6 Luna
Yes
Go
No
Java
No
Pricing Details
Free
Open source
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
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
Z.ai
Founded
2023
Country
China
Website
z.ai/
Vendor Details
Company Name
OpenAI
Founded
2015
Country
United States
Website
openai.com