GLM-5.3-Flash
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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-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
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
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
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
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