Model Detail

GLM-5 is a large language model with 376.9B parameters released by zai-org. The model is registered under the text-generation pipeline tag on Hugging Face, and supports text->text inputs, distributed under the permissive mit license.

GLM-5 reports a Chatbot Arena ELO of 1,456 across 12,177 votes. On task-specific evaluations the model scores 72.8% resolved on SWE-Bench.

GLM-5 is priced at $0.95/M input tokens and $3.15/M output tokens. Operationally the model offers a 205K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. Pricing in this range is the working middle of the API market — neither the cheapest nor the most expensive option per token, so cost-fit is usually a function of how much output you generate.

GLM-5 ships with 376.9B parameters. Total weight footprint is approximately 753.9 GB, which is the relevant figure when planning local-inference VRAM. The mit license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Downloads of GLM-5 have moved -86.8% over the past 24 hours, -86.8% over the trailing seven days, -86.8% over the trailing thirty days. The decline is steep, which typically signals a newer release displacing this checkpoint or a known issue surfacing in the community. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.

GLM-5 is best fit for general-purpose chat and instruction-following workloads, and long-context tasks such as full-codebase analysis or book-length summarization (205K tokens). Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.