GLM Image

A flagship workhorse for complex software engineering and long-horizon agent tasks. It uses the same base model as GLM-5.2, with improvements driven by post-training, delivering a 50% gain on Z.ai Code Bench alongside stronger terminal-operation and vulnerability-discovery capabilities. It offers a 1M-token context window, up to 128K output, always-on reasoning with low, high, and max effort levels, function calling, and structured outputs. It currently accepts text only and is not intended for tasks requiring visual understanding.

The efficiency-focused Flash model in the GLM-5 family, with native multimodal support and a design aimed at long-context, high-frequency execution. It is a strong fit for coding, agentic workflows, and complex tasks that require image-and-text understanding, especially when production cost matters.

推論、コーディング、および長いコンテキストのエージェント タスク向けに構築されており、コンテキストの長さ、ツールの使用、および複雑な複数ステップのワークフローにおいて GLM-5.1 よりも改善されています。 Qwen、DeepSeek、Kimi などの中国の主力製品と比較すると、エンタープライズ自動化、プロジェクト レベルのコード分析、中国語でのナレッジ ワークに適しています。

Built for premium visual workflows where editing precision and finished-image quality matter most: a better fit for production campaign creative, polished product imagery, and multi-turn edits that need to preserve the subject, composition, and visual treatment. It accepts text and reference-image inputs and produces images, with longer generation times than Flare.