Zai_org 发了 GLM-5.2，在 Agent 任务榜单上排第10，碾压所有开源模型，而且价格没变。跑复杂工作流、调工具效果明显进步。
GLM-5.2 (Max) 在 Agent Arena 排行榜上排名第10，得分接近 Claude-Opus-4.8（非推理模式）。它成为排名最高的开源模型，较去年发布的 GLM-5.1 从第13位上升3位。该模型在数百万真实长程任务上评测，可调用网页搜索、文件系统和终端工具。GLM-5.2 (Max) 输入/输出定价保持为每百万 token 1.4/4.4 美元，支持1M上下文窗口，权重采用 MIT 许可开源。
GLM-5.2 (Max) by @Zai_org ranks #10 on the new Agent Arena leaderboard, closely matching Claude-Opus...
GLM-5.2 (Max) by @Zai_org ranks #10 on the new Agent Arena leaderboard, closely matching Claude-Opus-4.8 (non-thinking) and is the #1 open model by a wide margin! In Agent Arena, we measure models on millions of real-world, long-horizon agentic tasks from a global community of users. Models can access web search, filesystem, and terminal tools to complete complex workflows. The leaderboard measures model performance on outcomes relative to the average model using a causal tracing methodology. Compared to 5.1, GLM-5.2 (Max) climbs from #13 to #10 . Its clearest gains are confirmed task success, and user praise vs. complaint. Bash capabilities and tool hallucination remain stable. There is a tradeoff in steerability compared to the previous model (-6.0% vs. +1.2%). GLM-5.2 remains the same price as GLM-5.1, $1.4/$4.4 per input/output MTokens. 1M context window. Huge congrats @Zai_org for the incredible release! See thread for details on how GLM-5.2 (Max) performs across 5 different signals. Z.ai @Zai_org Introducing GLM-5.2: Frontier Intelligence, Open Weights - Significant improvements in coding and agentic tasks - Strong long-horizon capabilities with a 1M context window - Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency - MIT-licensed open weights - Same API pricing as GLM-5.1 Tech Blog: z.ai/blog/glm-5.2 Weights: huggingface.co/zai-org/GLM-5.2 API: docs.z.ai/guides/llm/glm… Coding Plan: z.ai/subscribe Chat: chat.z.ai 🔗 View Quoted Tweet 💬 3 🔄 2 ❤️ 40 👀 1831 📊 6 ⚡