Z.ai: GLM 4.6 Coding Benchmark
Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex...
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Coding Performance
Coding benchmarks and performance metrics for development tasks
Performance metrics from Artificial Analysis
Security
Enkrypt AI red-team scores for Z.ai: GLM 4.6. Each value is the share of successful attacks on a 0–100 scale — lower is safer.
Lower is safer
Safety
Composite safety risk from Enkrypt red-team evaluations. Lower is safer.
NIST
Average attack success across NIST-mapped tests: bias, harm, toxicity, CBRN, and insecure code.
OWASP
Weighted average of the same tests using OWASP Top 10 for LLMs 2025 risk rankings.
Attack categories
Percentage of successful attacks in each Enkrypt red-team category.
Share of jailbreak tests that bypassed the model's safety constraints.
Share of tests that elicited biased responses.
Share of tests that produced dangerous, violent, or hateful content.
Share of tests that produced toxic or abusive content.
Share of tests that elicited chemical, biological, radiological, or nuclear assistance.
Share of tests that produced vulnerable or malicious code.
Security scores from the Enkrypt AI Safety Leaderboard · Last checked Sep 17, 2026
Real-World Usage
Real-world usage statistics from the Kilo Code community
Weekly Token Usage
Mode Rankings (Last Week)
Where this model ranks for each built-in mode
Code
Write, modify, and refactor code
Ask
Get answers and explanations
Debug
Diagnose and fix software issues
Orchestrator
Coordinate tasks across multiple modes
Real-world metrics from the Kilo Code Leaderboard
Pricing
Cost per 1 million tokens
Example Cost
Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.0400
Coding Capabilities
Features and parameters relevant to coding tasks
Coding Features
Pricing details from OpenRouter
Technical Details
Architecture and implementation specifications
- Model ID
- z-ai/glm-4.6
- Artificial Analysis Slug
- glm-4-6-reasoning
- Created
- September 30, 2025
- Tokenizer
- Other
- Input Modalities
- Text
- Context Window
- 202,752 tokens
- Max Completion Tokens
- 131,072 tokens
- Input Price
- $0.50 per 1M tokens
- Output Price
- $2.00 per 1M tokens
- Cache Read Price
- $0.10 per 1M tokens
- Content Moderation
- Disabled
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