Z.ai: glm-5.3-flashx-legal

GLM 5.3 FlashX Legal is a Z.ai model built for agentic legal intelligence, combining document understanding, legal reasoning, and task planning. It accepts text, image, video, and file input and returns text, with thinking mode always enabled. It supports streaming output, function calling, context caching, structured output such as JSON, and specialized MCP services for external legal data and Word document tools. Its context window is approximately one million tokens, with 128K output tokens. The model targets legal work end to end: reviewing contracts at the clause level for risks and conflicts, extracting key information from contracts and litigation materials, checking consistency across multiple documents, identifying legal relationships and issues in dispute, analyzing evidence, preparing cases, and drafting legal documents. It also supports due diligence working papers, defense strategies, initial contract revisions, and full legal document delivery workflows, as well as vision-driven UI coding from screenshots, page images, website URLs, or screen recordings, financial research and analysis such as earnings analysis and valuation modeling, and generating parametric 3D models from part photographs or CAD blueprints. Z.ai documents about 200 tokens per second for faster streamed replies. The architecture uses three times less attention compute and a 4.4 times smaller KV cache than GLM-5.3 at one million token context. Thinking mode cannot be turned off, so latency and cost always include the deliberation process. The GLM-5.3-Flash family has 320 billion total parameters and 18 billion active parameters; FlashX carries the official API ID glm-5.3-flashx. It is open-source under the MIT License, can run locally with dynamic GGUF quantizations, with a one-bit version running on a 100 gigabyte machine and a three-bit version fitting a 128 gigabyte Mac or NVIDIA DGX Spark.