Pony Alpha 2: Faster OpenClaw Agent Model Than GLM-5

Pony Alpha 2 outperforms GLM-5 in OpenClaw speed, tool calling, context retention, and skills like presentations/web crawling, but trails in pure coding tasks.

Speed Delivers Smoother Workflows

Pony Alpha 2 processes tasks like the movie tracker app in 3 minutes—far quicker than GLM-5's sluggish performance. It responds almost instantly to tool calls and avoids unnecessary overthinking, mimicking fast models like Grok. This reduces workflow friction in OpenClaw setups, enabling long-running tasks with heavy tool usage without slowdowns. Use it for daily agentic work where latency kills productivity; pair with low-load inference for even better results.

Agentic Strengths in Tool Calling and Context

Fine-tuned for OpenClaw, Pony Alpha 2 excels at instruction following, tool calling, and skills integration. It handles presentation creation and web crawling workflows more reliably than GLM-5, reusing tools intelligently when context fades. Long-context retention prevents 'context rotting' common in GLM-5, maintaining history across sessions and checking facts via tools if needed. Deploy it in co-work agents or ZeroClaw for research and multi-step tasks—expect smarter reuse and fewer derailments.

Coding Falls Short of GLM-5

On coding prompts like mobile movie tracker, Kanban app, or Tarian Nugget, Pony Alpha 2 underperforms GLM-5. It handles basic code decently but lacks depth for complex builds. Treat it as a GLM-5 variant optimized for agents, not a coding powerhouse—stick to GLM-5 for code-heavy prompts and switch Pony for agent flows.

Open Weights Could Make It a Daily Driver

If ZAI releases Pony Alpha 2 with open weights and competitive pricing, it becomes ideal for everyday OpenClaw agents. Lighter architecture promises affordability without premium speed costs like Claude's fast mode. Early access via ZAI Twitter; watch for official launch with potential multi-agent tools.

Video description
In this video, I'll be sharing my first impressions of Pony Alpha 2, a new model from Z AI that appears to be fine-tuned for OpenClaw. I compare it with GLM 5 in coding and agentic workflows, talk about its speed, long-context retention, and writing quality, and explain why it feels like a better fit for day-to-day OpenClaw usage. -- Key Takeaways: 🚀 Pony Alpha 2 feels extremely fast compared to GLM 5 and responds almost instantly in many workflows. 🧠 The model seems better optimized for agentic tasks, tool calling, and instruction following inside OpenClaw. 💻 While it is decent at coding, it does not seem to outperform GLM 5 on coding-heavy prompts. 🛠️ Pony Alpha 2 works especially well with Skills, such as presentation workflows and web crawling tasks. 📚 Long-context retention appears stronger, with better history handling and smarter tool reuse when needed. ✍️ Writing quality also seems slightly improved, especially for research-oriented workflows. 🌍 If it launches with open weights and good pricing, it could become a very interesting model for everyday AI agents.

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