GLM-5.2 is the first open-weights model to achieve 80% accuracy on Terminal-Bench and outperforms all other available open models. It also surpasses Gemini, positioning it as a frontier-level model at a significantly lower cost.
GLM 5.2's API is now live, with model weights available on Hugging Face under MIT license and supported by Ollama. The model offers two thinking modes—High and Max—with 1M context length, priced at $1.4 per 1M input tokens and $4.4 per 1M output tokens, matching GLM-5.1.
GLM-5.2 has secured the second position in the WebDew Arena benchmarking evaluation. The result reflects its strong performance in natural language understanding and generation tasks compared to other models.