This step‑by‑step guide shows how to deploy OpenClaw on an Alibaba Cloud ECS instance, replace its default model with GLM‑4.7, configure a Feishu bot, and verify a continuously running AI assistant that can handle code, web browsing, and system tasks.
This guide shows how to obtain a free NVIDIA NIM API key, verify a Chinese phone number, and call the hidden GLM‑4.7 and Minimax‑M2.1 large‑language models using provided Python or curl snippets, all without owning a GPU.
After Trae announced a free rollout of its China‑version SOLO model, the author discovered the feature unlocked, tested GLM‑4.7 and Doubao‑Seed‑Code, hit long queues and missing fireworks, then compared results with the international version using Gemini 3 Pro, highlighting capability differences and trade‑offs.
GLM-4.7 scores 68 points to rank sixth worldwide and first among open‑source models, surpassing Claude 4.5 Sonnet, with strong reasoning performance, fast generation speed, but higher cost and weaker code‑generation and math abilities compared to rivals.
The GLM-4.7 model launches with record‑breaking benchmark scores across coding, reasoning, and real‑world programming tasks, outperforming both open‑source and commercial LLMs while introducing advanced interleaved, retained, and round‑level thinking modes that enhance complex task execution.
The author integrates the newly released GLM‑4.7 model into Claude Code, runs three real‑world coding scenarios—including a React dashboard, a FastAPI authentication service, and a refined landing page—and finds that its stability, reasoning, and output quality closely match Claude Sonnet 4.5, positioning GLM‑4.7 as a strong open‑source alternative.
Zhipu's newly released GLM-4.7 model outperforms GPT-5 and Claude Sonnet 4.5 on multiple coding benchmarks, introduces Vibe Coding for UI generation, offers Interleaved and Preserved Thinking capabilities, is fully open‑source, and costs only one‑seventh of competing services.
