模型詳情
glm-4.6
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.
模型規格
- 上下文長度
- –
- 最大輸出
- –
- 輸入/輸出模態
- –
- 發布日期
- 2025-09
02
API 端點
單一 MixRoute 閘道,OpenAI 相容
-
OpenAI-compatible
/v1/chat/completionsPOST
03
價格
固定費率,單位:/1M Tokens
輸入
$0.6000 /1M Tokens
補全
$2.2000 /1M Tokens
快取讀取
$0.1100 /1M Tokens
08
Token 成本估算
基於本頁價格的即時估算,非實際帳單
同一前綴被重複讀取的輸入占比,最高 100%
單一端點,可驗證的決策
使用相同的請求格式測試此模型與替代路由
從真實工作負載開始,再由品質、總成本與故障條件決定是否導入正式環境流量。