Z.ai: GLM 4.6
Z.ai's GLM 4.6 shows a solid intelligence score with strong agentic performance, good maths benchmarks, and a 204K context window at a reasonable price — a capable mid-tier model, though its Western business accessibility and provider familiarity are factors to consider.
Assessment date: April 16, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Performance Profile
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..
Capabilities
Architecture
| Modality | Text → Text |
| Tokenizer | Other |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Z.ai: GLM 4.6 stack up?
Compare side-by-side with other specialist models.
Model Information
| OpenRouter ID |
z-ai/glm-4.6
|
| Provider | z-ai |
| Release Date | September 30, 2025 |
| Context Length | 204,800 tokens |
| Max Completion | 204,800 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.39 | $0.000390 |
| Output | $1.90 | $0.001900 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
External Resources
Explore Related Models
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 16, 2026 8:54 pm