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Model details

GLM-5V-Turbo

GLM-5V-Turbo marks a deliberate architectural shift within the GLM model family. Unlike earlier iterations where vision capabilities were added as a processing layer, this model was designed as a native multimodal agent from the ground up. The architecture natively ingests image, video, and text inputs within a unified framework that supports long-horizon task planning, complex coding workflows, and GUI interaction. This design choice means the model reasons across modalities rather than treating them as separate pipelines—a distinction that shapes its performance in tasks requiring simultaneous visual understanding and code generation. The family lineage traces through GLM-4.5 (July 2025), GLM-4.7 (December 2025), and GLM-5 (February 2026), with each release building toward tighter integration between multimodal perception and agent-oriented output such as tool calling and task decomposition.

Developed by Zhipu AI, a Beijing-based laboratory that listed on the Hong Kong Stock Exchange in January 2026, GLM-5V-Turbo emphasizes stable multi-step reasoning and execution alongside enhanced programming capabilities. The model operates within a perceive → plan → execute loop, making it particularly suited for agentic workflows where it drives tasks to completion rather than producing single-turn responses. Developer accounts highlight its ability to translate visual design mockups directly into functional code, suggesting practical strength in frontend automation and rapid prototyping pipelines. With tool calling, task decomposition, and GUI interaction baked into its output behavior, GLM-5V-Turbo positions itself as a foundation model for developers building autonomous agents that need to see, reason, and act across extended problem-solving horizons.

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Provider
302.AI
Model key
glm-5v-turbo
Release date
Apr 2, 2026
Last updated
Apr 2, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.72
Output token cost
$3.20

Limits

Output tokens
131,072 tokens
Context window
200,000 tokens

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Coverage

Z.AI's official technical report introduces GLM-5V-Turbo as a step toward native foundation models for multimodal agents, positioning multimodal perception as a core component of reasoning, planning, tool use, and execution rather than an auxiliary interface to a language model. The paper documents main improvements ac According to the abstract and overview, GLM-5V-Turbo is built to perceive and act over heterogeneous contexts including images, videos, webpages, documents, and GUIs, integrating visual understanding directly into its reasoning and decision-making core. The report also highlights practical insights for building multimo

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