OpenClaw + GLM 5.3 Flash — Opus-Class Scores at Flash Cost

说明与用途

GLM 5.3 Flash 让 OpenClaw 代理以极低的 token 成本运行多模态任务，替代昂贵模型，同时支持强制推理和长上下文。

问题

Deploying a high‑performance, low‑cost multimodal LLM for continuous agent workloads while managing token costs and reasoning overhead.

结果

GLM 5.3 Flash delivers frontier‑level multimodal capability at a fraction of the cost, enabling continuous agent operation with low token bills and built‑in reasoning.

工作流

• Deploy an OpenClaw agent (~30 s).
• Add your OpenRouter or Z.AI API key in the BYOK settings.
• Open the model picker and search for "glm‑5.3‑flash"; select it – the change applies immediately.
• Optionally switch models via dashboard or /model command for different workloads.
• Configure reasoning settings: temperature 1, top_p 0.95, reasoning_effort max, thinking.clear_thinking false.
• Enable stream and tool_stream for streaming output.
• Plan context length based on provider limits (max 1,048,576 tokens for OpenRouter).

证据

GLM 5.3 Flash is level with Opus 4.8 on the composite index, ahead on agentic work, and behind on coding.

来源

The headline price is a limited‑time discount, not the list price.

来源