About this model
GLM 4.7 Flash is the efficiency-tier member of Z.ai's GLM 4.7 generation, built as a 30-billion-parameter Mixture-of-Experts model that activates only around 3 billion parameters per token, making it suited to lightweight and local deployment. This particular listing runs the model inside a Trusted Execution Environment, adding hardware attestation evidence so users can independently verify that inference happens in a sealed enclave — a privacy-and-verifiability feature layered on top of the standard weights. It supports a context window approaching 200K tokens and is tuned specifically for coding, tool collaboration, and long-horizon agentic workflows.
Compared with the larger flagship GLM 4.7, this Flash variant trades raw capacity for speed and deployability while staying within the same release family. Against earlier GLM generations such as GLM 4.6, Z.ai positions the 4.7 line around stronger agentic coding, repository-level understanding, and "interleaved thinking," where the model reasons sequentially before each action rather than planning everything upfront.
Within Z.ai's broader catalog, it sits alongside successors like GLM 5 and GLM 5.1, remaining the compact, agent-focused option for developers prioritizing efficiency and verifiable execution.
This About section is AI-generated from public sources (Claude Opus 4.8), with no human editing. It may contain inaccuracies — verify critical details against the sources listed above.
Research & Papers
Primary reference paper for this model family, sourced from the HuggingFace model card.
Data sources: Venice API · HuggingFace · Wikipedia · arXiv — enrichment updated 1d ago