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Model details

GLM-5V-Turbo

GLM-5V-Turbo is a native multimodal coding foundation model from Chinese AI company Zhipu AI, designed to extend programming beyond text into visual interaction. The model ingests visual inputs such as design drafts, screenshots, and mockups and translates them directly into executable front-end code, unifying vision and code reasoning within a single system. It builds on the groundwork established by the earlier GLM-5 and GLM-5-Turbo releases and is positioned as Zhipu AI's first multimodal coding base model. The release aligns with the company's broader "Agentic Engineering" strategic direction, aiming to make visual artifacts first-class inputs for software creation rather than mere references that accompany textual prompts.

The model's practical strength lies in bridging design and implementation workflows, allowing developers to move from a visual concept to a working front-end project without manually rewriting the interface in code. Reporting highlights strong benchmark performance in both coding evaluations and GUI agent tasks, indicating competence not just at generating syntactically correct code but at producing interfaces that function as usable user experiences. By treating screenshots and mockups as primary specifications, GLM-5V-Turbo suits teams working on rapid prototyping, front-end scaffolding, and agent-driven UI development where the gap between design and deployable code has traditionally required significant manual translation.

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Quick Info

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Provider
DevPass (LLM Gateway)
Model key
glm-5v-turbo
Release date
Apr 1, 2026
Last updated
Apr 1, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.20
Output token cost
$4.00

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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Latest news about GLM-5V-Turbo

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CoverageBenchmark

CSPaper's 22 July 2026 snapshot compares GLM-5V-Turbo against Gemini 3.1 Pro and GPT-5.6 Terra across 700 expert-calibrated papers and 38 public venue/track rows as of 20 July 2026. GLM-5V-Turbo records the best NMAE (0.165), the smallest mean bias by a wide margin (approximately 0.000), and a strong Spearman ranking c The benchmark highlights GLM-5V-Turbo's near-zero bias and best score fit as its distinguishing profile, in contrast to Gemini 3.1 Pro (best ranker, leans generous) and GPT-5.6 Terra (most detailed but stricter). The evaluation scope is paper-review quality rather than standard multimodal coding/vision suites, so the r

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Coverage

The alphaXiv technical report (paper 2604.26752v1) presents GLM-5V-Turbo as a native foundation model for multimodal agents, authored by Z.ai. It frames the model as integrating multimodal perception directly into reasoning, planning, tool use, and execution rather than treating vision as an auxiliary interface to a la The report positions GLM-5V-Turbo as a step toward agents that can navigate complex digital environments such as web browsers, mobile operating systems, and professional software suites by treating images, videos, and GUIs as primary information sources for planning and action. It emphasizes hierarchical optimization a

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