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GLM 5.2 playing text adventures

The author tests the new open-weights GLM 5.2 model against Gemini 3 Flash by having them play text adventure games within a fixed budget of $0.15 per attempt. A harness tracks achievements earned in each game to compare the models' performance.

Background

This article evaluates GLM 5.2, the latest open-weights model from Chinese AI company Zhipu AI (often called the "OpenAI of China"). Zhipu's GLM series is a major open-source large language model family. The article compares it to Gemini 3 Flash, Google's fast, low-cost LLM. "Open-weights" means the model's trained parameters are publicly released (unlike closed models like GPT-4 or Claude), allowing developers to run it locally or fine-tune it. The benchmark uses text adventure games (classic interactive fiction like Zork) — a stress-test of an LLM's planning, memory, and logical consistency over multiple steps. Each attempt is limited to ~$0.15 in compute costs via OpenRouter (a service providing API access to many models). The harness tracks in-game "achievements" as a measure of capability.

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