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.
| 信号 | 强度 | 权重 | 影响 |
|---|---|---|---|
| Capabilitiesjust now | 67 | 30% | +20.0 |
| Recencyjust now | 100 | 15% | +15.0 |
| Output Capacityjust now | 89 | 15% | +13.3 |
| Context Windowjust now | 84 | 15% | +12.6 |
| Pricingjust now | 2 | 25% | +0.5 |
社区和从业者反馈在基准测试和价格之上增加了真实世界的信号。
Share your experience with GLM 4.6 and help the community make better decisions.
成本估算器
每月比类别平均节省$32.89