by Z.AI
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 agentic tasks. Superior coding performance: The model achieves higher scores on code benchmarks and demonstrates better real-world performance in applications such as Claude Code、Cline、Roo Code and Kilo Code, including improvements in generating visually polished front-end pages. Advanced reasoning: GLM-4.6 shows a clear improvement in reasoning performance and supports tool use during inference, leading to stronger overall capability. More capable agents: GLM-4.6 exhibits stronger performance in tool using and search-based agents, and integrates more effectively within agent frameworks. Refined writing: Better aligns with human preferences in style and readability, and performs more naturally in role-playing scenarios.
Models with similar or better quality but different tradeoffs
Models with similar or better performance at a lower cost per token.
Models with similar or better performance but lower latency.
Models at a similar price point with higher benchmark scores.
No alternatives found
Compare performance with other models from the same creator
How this model performs across different benchmarks
Compare cost efficiency across all models
Performance trends across all benchmark runs
Number of benchmark runs over time
Get started with this model using OpenRouter